Cloud Architecture

Cloud Architecture Finance Jobs

9 jobs found

1mo ago

Enterprise Architect, Finance & Legal Systems

Okta Bellevue, WA

Bellevue, WA

1mo ago Closed

$236k - $325k/yr Full time Accounting Artificial Intelligence Aws Solutions Architect

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Okta is building secure, intelligent, and connected business systems, and this role helps define the technology architecture strategy across Finance and Legal. You’ll modernize core enterprise platforms and enable more data-driven decision-making and automation by leveraging AI/ML and LLM capabilities alongside strong systems integration.

Location: Bellevue, WA (hybrid)

Compensation: USD 236,000 - 324,500 per year

Experience: 15+ years

Responsibilities

Define the target-state architecture for Finance and Legal applications, aligning designs to enterprise strategy and growth objectives.
Lead end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise.
Own a multi-year modernization roadmap across ERP, FP&A, Legal, and Sales Compensation systems.
Apply identity-first security principles, integrating with Okta and other IAM solutions for authentication, authorization, and compliance.
Architect and implement AI/ML-driven improvements to finance and legal workflows, including predictive forecasting, anomaly detection, spend optimization, contract risk scoring, and intelligent reconciliation.
Partner with the Enterprise AI team to operationalize AI/ML solution models within G&A functions, ensuring alignment with business outcomes.
Ensure reliable data flow across systems including ERP (NetSuite/Oracle), Coupa, Scout, Anaplan, Conga, and Xactly using APIs and middleware (Boomi), including unified data models for analytics and AI consumption.
Identify where generative AI, NLP, and LLMs can be embedded into core Finance and Legal processes, such as financial reporting, close management, reconciliation, contract lifecycle management, and legal document automation.
Drive functional and technical design and lead hands-on proof of concepts (POCs) and AI-driven automations to reduce manual effort.
Lead from the front by piloting, prototyping, and demoing new solutions and technologies such as AI and automation.
Collaborate across Finance, Legal, IT, Data, Compliance, Security, and Engineering teams to translate business goals into scalable, secure, and innovative technology solutions.
Translate complex SaaS requirements (for example revenue recognition, contract risk management, and GDPR) into technical architectures.
Act as a trusted advisor to leadership on Finance and Legal technology trends including subscription/usage-based billing, AI contract analytics, and compliance automation.
Influence executives and decision-makers on solution architecture, system strategy, and adoption plans to drive operational excellence and transformation.
Support and/or lead implementations and enhancements of ERP and legal tools, including Oracle, NetSuite, Coupa, Scout, Anaplan, and Conga, DocuSign.
Establish governance for data privacy, SOX compliance, and access control across Finance and Legal systems.
Support rollout of Data Governance by working with the Data Governance, business, and data warehousing teams.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
TOGAF or similar Enterprise Architecture certification is a plus.
15+ years of software engineering experience, including significant time as an Architect or Principal in ERP Systems (Oracle/Netsuite/SAP), FP&A Systems (Anaplan) and/or CLM systems (Aptus/Conga/Ironclad).
Multiple ERP full-cycle implementation experience (Oracle or NetSuite).
Strong understanding of Finance process areas including Order to Cash, Record to Report, Source to Pay, Plan to Report (FP&A), Treasury, Credit Collection, Revenue Recognition, and Subscription Billing, plus Contract Life Cycle Management within Legal Ops.
Hands-on architectural experience with functional and technical solutions across NetSuite (or Oracle), Aptus/Conga (or Ironclad), Anaplan, Coupa, Scout, and tax engines such as Avalara, Vertex, or OneSource, including data models and APIs for integrations.
Experience architecting and delivering AI Agents using leading LLMs including Gemini, OpenAI, or Claude.
Experience managing software and/or vendor selection with the end-state enterprise architecture in view.
Proficiency with middleware such as MuleSoft, Workato, Boomi, or Informatica for connecting Finance, Legal, CRM, and data platforms.
Familiarity with code, configuration, and system performance standards/reviews for quality, scalability, and compliance with enterprise standards.
Proficiency with AWS, Azure, or GCP, plus knowledge of data lakes/warehouses such as Snowflake, Redshift, or BigQuery for SaaS revenue and compliance analytics.
Identity and security knowledge including SSO, OAuth, SAML, SCIM, and Zero Trust, with hands-on integration experience in Okta or similar IAM platforms.
Occasional travel to office locations for project and team collaboration meetings and offsites.
Passion for innovation, AI adoption, and continuous improvement aligned with Okta’s mission.

Technologies

NetSuite, Oracle (ERP), SAP, Coupa, Scout, Conga, Anaplan, Xactly
AI, machine learning (ML), NLP, intelligent automation, generative AI, LLMs (Gemini, OpenAI, Claude)
APIs, middleware (Boomi, MuleSoft, Workato, Informatica)
DocuSign
Data platforms: AWS, Azure, GCP, Snowflake, Redshift, BigQuery
Identity and security: SSO, OAuth, SAML, SCIM, Zero Trust
Tax engines: Avalara, Vertex, OneSource
Compliance and governance: GDPR, SOX, Data Governance
TOGAF

The Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

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1mo ago

Enterprise Architect, Finance & Legal Systems

Okta Chicago, IL

Chicago, IL

1mo ago Closed

$236k - $325k/yr Full time Accounting Architecture Artificial Intelligence

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

In this hybrid role in Chicago, Okta is seeking an Enterprise Architect for Finance & Legal Systems to define and deliver technology architecture strategy across Finance and Legal functions. The position focuses on modernizing enterprise systems, shaping solution and data architecture, and enabling AI-driven automation and predictive insights across core business processes.

Role scope

The architect will lead solution architecture and integration efforts spanning ERP, FP&A, Legal, and Sales Compensation systems. The work includes building an enterprise-aligned target state, establishing modernization roadmaps, and ensuring scalable, secure, and compliant technology foundations using identity-first security principles integrated with Okta and other IAM solutions.

Key responsibilities

Define the target-state architecture for Finance and Legal applications, aligned to enterprise strategy and growth objectives.
Lead end-to-end architectural design and implementation for Finance and Legal systems, focusing on integration, scalability, and performance.
Develop and maintain a multi-year modernization roadmap across ERP, FP&A, Legal, and Sales Compensation systems.
Design systems with identity-first security, integrating with Okta and other IAM solutions for authentication, authorization, and compliance.
Architect and implement AI/ML-driven capabilities for finance and legal processes, including predictive forecasting, anomaly detection, spend optimization, contract risk scoring, and intelligent reconciliation.
Partner with the Enterprise AI team to operationalize AI/ML Solution models within G&A functions to align with business outcomes.
Ensure seamless data flow across ERP (NetSuite/Oracle), Coupa, Scout, Anaplan, Conga, and Xactly using APIs and middleware (Boomi), including unified data models for analytics and AI consumption.
Identify opportunities to embed generative AI, NLP, and LLM capabilities into core Finance and Legal workflows such as financial reporting, close management, reconciliation, contract lifecycle management, and legal document automation.
Lead hands-on proof of concepts (POCs) and AI-driven automations to reduce manual effort.
Pilot, prototype, and demo new solutions and technologies, including AI and automation.
Collaborate with Finance, Legal, IT, Data, Compliance, Security, and Engineering teams to translate business objectives into scalable, secure solutions.
Advise Finance, Legal, Compliance, Security, and Engineering leaders on technology roadmaps aligned with Okta business priorities.
Translate complex SaaS finance and legal requirements (including revenue recognition, contract risk management, and GDPR) into technical solutions.
Serve as a trusted advisor to leadership on Finance and Legal technology trends such as subscription/usage-based billing, AI contract analytics, and compliance automation.
Support and lead implementations and enhancements of ERP systems (Oracle, NetSuite, Coupa, Scout, Anaplan) and legal tools (Conga, DocuSign).
Establish governance frameworks for data privacy, SOX compliance, and access control across Finance and Legal systems.
Support rollouts of Data Governance by collaborating with Data Governance, business stakeholders, and data warehousing teams.

Technologies and systems

ERP: NetSuite, Oracle (ERP), SAP
Financial planning and procurement: Anaplan, Coupa, Scout
Legal and contract lifecycle: Conga, DocuSign, Aptus, Ironclad
Sales compensation: Xactly
AI/ML and LLMs: AI, ML, NLP, Gemini, OpenAI, Claude, generative AI, LLM
Integration and data platforms: APIs, middleware (Boomi, MuleSoft, Workato, Informatica)
Tax engines: Avalara, Vertex, OneSource
Cloud and data: AWS, Azure, GCP, Snowflake, Redshift, BigQuery
Identity and security: SSO, OAuth, SAML, SCIM, Zero Trust, Okta

Minimum qualifications

Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field.
15+ years of software engineering experience, including significant time as an Architect or Principal across ERP systems (Oracle/NetSuite/SAP), FP&A systems (Anaplan), and/or CLM systems (Aptus/Conga/Ironclad).
Demonstrated enterprise architecture experience with multiple ERP full-cycle implementations (Oracle or NetSuite).
Deep understanding of Finance business process areas including Order to Cash, Record to Report, Source to Pay, Plan to Report (FP&A), Treasury, Credit Collection, Revenue Recognition, and Subscription Billing, plus Contract Life Cycle Management within Legal Ops.
Hands-on experience architecting functional and technical solutions within major business applications, including NetSuite (or Oracle), Aptus/Conga (or Ironclad), Anaplan, Coupa, Scout, and tax engines (Avalara, Vertex, OneSource) with knowledge of data models and APIs for integrations.
Experience architecting AI Agents using leading LLMs such as Gemini, OpenAI, or Claude.
Experience with software and vendor selection aligned to end-state architecture.
Proficiency with middleware such as MuleSoft, Workato, Boomi, or Informatica for connecting Finance, Legal, CRM, and data platforms.
Familiarity with code, configuration, and system performance standards/reviews to ensure quality, scalability, and compliance with enterprise standards.
Proficiency with AWS, Azure, or GCP and knowledge of data lakes/warehouses (Snowflake, Redshift, BigQuery) for SaaS revenue and compliance analytics.
Identity and security knowledge including SSO, OAuth, SAML, SCIM, and Zero Trust, with hands-on integration experience in Okta or similar IAM platforms.
Occasional travel to office locations is expected for project and team collaboration meetings and organization offsites.
Passion for innovation, AI adoption, and continuous improvement aligned with Okta’s mission.

Additional qualifications

TOGAF or similar Enterprise Architecture certification is a plus.
Excellent storytelling and communication skills, comfortable presenting to both technical and executive stakeholders.

Compensation and location

Location: Chicago, IL (hybrid)
Compensation: USD 236,000 - 324,500 per year

Okta experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

LI#-RA1: #LI-Hybrid

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3mo ago

Data Engineer / Architect III - Finance Domain

Hudson Manpower Cincinnati, OH

Cincinnati, OH

3mo ago Closed

$50 - $55/hr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Data Engineer / Architect III for the Finance domain leading a large-scale M&A initiative, onsite in Cincinnati, focusing on enterprise data architecture, cloud data engineering, scalable ELT/ETL pipelines, and regulatory-grade data integration.

Responsibilities

Design and implement scalable enterprise data architectures to support analytics, reporting, and operations
Build and optimize cloud‑native ELT/ETL pipelines using Snowflake and DBT
Develop reusable transformation frameworks and enterprise data models
Create scalable solutions that meet analytics, reporting, and operational data needs
Build high‑performance analytical and operational data structures
Support enterprise merger and acquisition data integration initiatives
Analyze and consolidate disparate data sources from acquired organizations
Standardize enterprise data definitions, mappings, and transformation logic
Ensure accurate migration and reconciliation of financial and operational data
Support enterprise‑wide data consolidation efforts
Implement data validation and reconciliation processes
Establish data lineage, governance, auditability, and regulatory reporting readiness
Improve platform reliability, scalability, and maintainability
Assist with disaster recovery and operational resiliency planning
Partner with Enterprise Architects, Data Engineers, Business Analysts, Reporting Teams, Data Scientists, and business stakeholders
Translate business requirements into scalable technical solutions
Participate in architecture reviews, agile ceremonies, and technical planning sessions
Evaluate emerging technologies and engineering best practices

Requirements

Strong hands‑on Snowflake experience
Proficiency with DBT
Advanced SQL development and performance optimization
Expertise in data warehousing concepts
Experience building scalable ELT/ETL pipelines
Enterprise data modeling and data architecture
Cloud data platforms and data integration
Experience with data transformation frameworks
6+ years of data engineering or data architecture experience
Relational and non‑relational database experience
Strong knowledge of analytics architecture and enterprise data modeling

Technologies

Snowflake
DBT
SQL
Power BI
Java / J2EE

Benefits

Medical, Dental & Vision Insurance
401(k)
Paid Time Off
Professional Development Opportunities
Additional Benefits Package

Employment Type

W2 – Full Time

Location

Cincinnati, Ohio (Onsite)

Industry

Financial Services / Banking

Contract Type

Long-Term Contract

Submission Deadline

June 2, 2026

What Success Looks Like

Deliver scalable and reliable enterprise data solutions
Successfully integrate data across M&A initiatives
Build optimized Snowflake and DBT transformation frameworks
Improve enterprise reporting, analytics, and governance capabilities
Ensure regulatory‑quality data management and operational excellence

Technical Environment

Cloud Data Platform: Snowflake
Data Transformation: DBT; ELT / ETL Frameworks
Databases: Relational and Non‑Relational Databases
Analytics & Reporting: SQL; Power BI
Architecture: Enterprise Data Modeling; Data Warehousing; Data Governance
Additional Technologies: Java / J2EE

Ideal Candidate Profile

Highly analytical and detail‑oriented
Experience in regulated enterprise environments
Strong hands‑on engineering and architecture capabilities
Excels at solving complex data integration challenges
Expertise with modern cloud data platforms and transformation tools
Balances technical execution with business objectives
Collaborates effectively with technical and non‑technical stakeholders

Important Notes

W2 Full‑Time Opportunity
Onsite Role – Cincinnati, Ohio
Strong Snowflake Experience Required
DBT and Advanced SQL Expertise Required
Financial Services Experience Preferred
Enterprise Data Architecture and M&A Integration Focus

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3mo ago

Senior Data Engineer - Financial Transactions & Automation

NVIDIA Santa Clara, CA

Santa Clara, CA

3mo ago Closed

$184k - $288k/yr Full time Senior Azure Databricks Cloud

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Join NVIDIA's Financial Systems Engineering team to build foundational systems for high performance financial infrastructure and scalable cloud services. This onsite role in Santa Clara, CA focuses on enabling automated global financial operations by integrating a variety of financial systems. The position offers a competitive salary range of USD 184,000 - 287,500 per year.

Benefits

Equity
Benefits

Responsibilities

Design event driven data pipelines using Kafka and create data models that ensure transactional integrity for invoices, payments, and adjustments.
Automate scalable ETL processes and refactor next generation data architectures to improve quality, security, and coverage for growing business needs.
Collaborate across teams to codify business processes into self measuring systems and address complex challenges to ensure the reliability of financial operations.

Requirements

Bachelor’s degree or equivalent experience; Master’s preferred.
10+ years of experience delivering scalable financial services.
Expertise building scalable REST APIs backed by PostgreSQL.
Proficiency in Python, Golang, Scala, or NodeJS.
Hands on experience architecting robust ETL/ELT pipelines using Databricks and dbt to manage large scale Delta Lake or Apache Iceberg tables.
Deep understanding of high scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using container technologies like Docker and Kubernetes.

Technologies

Kafka
PostgreSQL
Python
Golang
Scala
NodeJS
Databricks
dbt
Delta Lake
Apache Iceberg
Linux
AWS
GCP
Azure
Docker
Kubernetes

Ways to stand out from the crowd

Advanced Data Modeling: Experience developing data ontology or semantic data layers that map disparate raw data into interconnected objects with defined properties and functions.
Financial Domain Scale: A track record of managing Financial or ERP data at internet scale, ensuring transactional integrity and zero data loss.
Modern Operations: An Infrastructure as Code mindset with specific experience building self healing systems in distributed environments.

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3mo ago

Lead Data Engineer (Finance Tech)

Capital One Richmond, VA

Richmond, VA

3mo ago Closed

$179k - $205k/yr Full time Big Data Bigdata Cloud Architecture

This position is no longer accepting applications (closed Jul 4, 2026).

Job Description

What Capital One offers

Join Capital One in its Finance Tech initiative for an on-site role in Richmond, Virginia, with a competitive annual salary of USD 179,400 to 204,700. You will work in a collaborative environment that emphasizes cloud-based data platforms and data-driven financial decisions. The position includes comprehensive health and financial benefits, along with a performance-based incentive program that may include cash bonuses and long-term incentives. This role welcomes ongoing learning and mentorship within a supportive engineering community.

Responsibilities

Collaborate with Agile teams to design, build, test, deploy, and support technical solutions using full-stack tools and technologies.
Join a development team with deep experience in machine learning, distributed microservices, and full-stack systems.
Work with Java, Scala, and Python, plus Open Source RDBMS and NoSQL databases, and cloud data warehousing services such as Redshift and Snowflake.
Share a passion for staying current with technology trends, experimenting with new tools, participating in internal and external tech communities, and mentoring other engineers.
Collaborate with digital product managers to deliver robust cloud-based solutions that empower millions of Americans to achieve financial empowerment.
Perform unit tests and participate in code reviews to ensure well-designed, cleanly coded, and performance-tuned software.

Requirements

Bachelor’s Degree
At least 4 years of experience in application development (internships do not count)
At least 2 years of experience with big data technologies
At least 1 year of cloud computing experience (AWS, Microsoft Azure, Google Cloud)

Technologies

Java
Scala
Python
Redshift
Snowflake
Mongo
Cassandra
Hadoop
Hive
MapReduce
EMR
Kafka
Spark
Gurobi
MySQL
UNIX/Linux
Shell scripting
AWS
Microsoft Azure
Google Cloud

Benefits

Health benefits
Financial benefits
Performance-based incentive compensation (cash bonuses and/or long-term incentives)

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3mo ago

Senior Financial Data & Analytics Engineer

Stony Brook University Stony Brook, NY

Stony Brook, NY

3mo ago Closed

$110k - $120k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Stony Brook University, onsite in Stony Brook, NY, is seeking a Senior Financial Data & Analytics Engineer to design, develop, and maintain the School of Medicine's enterprise financial data infrastructure and analytics solutions. The role focuses on building data pipelines, integrating enterprise systems, and delivering executive-level dashboards, exercising significant independent judgment to architect scalable, secure, high-performance analytics that support institutional financial strategy.

Salary

USD 110,000 - 120,000 per year

Location

Stony Brook, NY (onsite)

Schedule

Full-time, Day Shift, 8:30 AM - 5:00 PM

Responsibilities

Design and implement a centralized financial data warehouse that unifies PeopleSoft, HR, CPMP, Report Center, SOMDASH, and external data feeds.
Develop and maintain ETL/ELT pipelines for structured and semi-structured data.
Develop and oversee API-driven data ingestion pipelines.
Ensure the data architecture scales, performs reliably, and remains robust.
Collaborate with IT and enterprise data teams on infrastructure and platform design.
Create analytics models for physician productivity using wRVUs, reimbursement patterns, and compensation.
Incorporate benchmarking data such as Vizient for comparative performance analysis.
Develop predictive and trend models to inform financial planning.
Analyze payer mix, revenue cycles, and departmental cost structures.
Design data models that support funds flow, ROI analysis, and All-Funds reporting.
Develop multi-dimensional datasets combining clinical, academic, and financial data.
Create standardized metrics and definitions for institutional reporting.
Support scenario modeling and financial forecasting.
Develop and maintain executive dashboards using Tableau or equivalent BI tools.
Build self-service analytics tools for departments and leadership.
Design intuitive, scalable, and interactive reporting solutions.
Translate complex datasets into actionable insights.
Establish and enforce data quality, validation, and reconciliation processes.
Support data governance frameworks and compliance with institutional policies.
Collaborate with SOM Finance, Clinical Practice, HR, IT, and leadership stakeholders.
Present findings and recommendations to executive leadership.
Perform other duties and special projects as assigned in support of departmental and institutional research missions.

Requirements

Bachelor's degree or higher in Data Science, Computer Science, Information Systems, Finance, Economics, or a related field.
At least five years of full-time experience in data engineering, data analytics, or financial analytics within healthcare or enterprise environments.
Experience with SQL and relational database systems, data warehouse design (including dimensional modeling and star schemas), ETL/ELT pipeline development, API integration and data ingestion, and BI platforms such as Tableau or equivalents.
Experience integrating data across ERP systems (e.g., PeopleSoft), HR systems, and operational/clinical datasets.
Knowledge of physician productivity metrics (e.g., wRVUs) and healthcare financial data structures.

Technologies

SQL
Tableau
Power BI
Excel
Snowflake
Databricks
Azure
AWS
Python
R
PeopleSoft

Benefits

UUP annual location pay ($4,000)

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3mo ago

Data Analyst, Technology Consulting - Data & Analytics (Data Architecture & Engineering) - Financial Services Office (Manager)

EY Philadelphia, PA

Philadelphia, PA

3mo ago Closed

$218k - $218k/yr Full time Manager Analytics Azure Synapse Analytics

This position is no longer accepting applications (closed Jun 28, 2026).

Job Description

EY's Financial Services Office in Philadelphia is seeking a Data Analyst within Technology Consulting to shape data architecture and engineering for financial services clients. The role combines hands-on design of modern data platforms and data products with leadership across cross-functional teams, delivering end-to-end data solutions from concept through delivery in a hybrid work setting.

Location: Philadelphia, PA (hybrid)

Salary: USD 218,230 per year

Responsibilities

Assess business challenges and translate them into data architecture and engineering remediations.
Partner with clients to transform how they use and govern data by designing modern data platforms, data products, and data marketplaces, delivering end-to-end solutions that enhance data supply chains, reengineer processes, strengthen risk controls, and enable information intelligence using advanced technologies.
Resolve complex issues and drive growth initiatives across the financial services sector.
Define data and analytics strategies by conducting assessments, recommending remediation approaches, and designing future-state solutions.
Lead and coach diverse teams with varied professional backgrounds.
Coordinate cross-functional teams to ensure accountability for project tasks and timelines.
Propose and champion new technologies to improve or replace existing business processes.
Develop thought leadership through white papers, point of views, and proofs of concept.
Devise problem-solving strategies that combine logical and creative approaches.
Engage and influence large teams and functional leaders to achieve outcomes.
Maintain long-term client relationships and professional networks.
Cultivate opportunities for business development.

Requirements

Bachelor’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or related field plus 5 years of progressive work experience; or a Master’s degree with 4 years of related experience.
At least 3 years of combined experience in banking, capital markets, insurance, and/or wealth and asset management.
Minimum 3 years assisting clients with strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives, or Event-driven Architecture.
Minimum 3 years in traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing.
Minimum 3 years working with Next-Gen platforms such as AWS, GCP, Azure, Snowflake, Databricks, and/or distributed databases.
Minimum 3 years designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines.
Minimum 3 years combined experience in at least one of: traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL); MPP (Redshift, Synapse, Teradata, Vertica, Netezza); NoSQL (MongoDB, DynamoDB, Cassandra, Neo4j, Titan, Elasticsearch); Streaming (Spark streaming, Kafka, Confluent, Storm); DevOps (GitHub, Kubernetes, Jenkins, Terraform); or Data Modeling (Data Vault, Star, Snowflake, Canonical).
Domestic and regional travel up to 60% to meet client needs.