Lead Data Engineer, Ad Sales & Finance
Manager
Big Data
Bigdata
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Database
Databases
Databricks
Dataops
ETL
Informatica
Integration
Programming Languages
Spark
SQL
Job Description
Versant Media is seeking a Lead Data Engineer to support distributed delivery of trusted, scalable data products from source ingestion through the Silver layer. The role emphasizes engineering leadership, end-to-end pipeline ownership, and data quality, governance, and operating model practices to enable downstream analytics, reporting, AI, and operational use.
Location
New York, NY (onsite)
Compensation
USD 170,000 - 190,000 per yearly
Experience
8+ years
Role Responsibilities
- Lead and develop a distributed/offshore team of Data Engineers delivering from source ingestion through curated Silver-layer data products.
- Convert product roadmaps and requirements into engineering plans, including milestones, estimates, dependencies, and delivery commitments.
- Design and oversee ingestion, standardized transformations, orchestration, and publication of data from operational, SaaS, file, streaming, API, and partner sources.
- Ensure Silver-layer products are validated, standardized, documented, reusable, performant, secure, and ready for Gold-layer analytics and AI consumption.
- Establish repeatable processing patterns for batch, incremental, change-data-capture, and event-driven workflows.
- Build reusable engineering frameworks, templates, libraries, and pipeline patterns that reduce repeated effort across products and domains.
- Apply modern engineering practices, including source control, peer review, automated testing, CI/CD, observability, release management, and incident remediation.
- Define and maintain standards for naming, partitioning, schema evolution, error handling, replay/recovery, performance, cost management, and documentation.
- Partner with the Data Platform team to align with approved patterns for workspace, compute, storage, security, and deployment.
- Identify technical debt and lead pragmatic improvements that increase delivery speed, reliability, and maintainability.
- Work with Data Modelers to implement canonical entities, conformed dimensions, data contracts, source-to-target mappings, and enterprise modeling standards.
- Collaborate with Product Managers and domain leaders to clarify intended outcomes, source-system realities, priority use cases, and acceptance criteria.
- Coordinate dependencies with source-system owners, platform teams, analytics teams, and external partners.
- Set up data profiling, reconciliation, quality testing, freshness monitoring, lineage, and alerting for each delivered data product.
- Ensure source-to-Silver traceability, including authoritative source identification, transformation logic, ownership, metadata, and data-quality expectations.
- Implement access controls and sensitive-data practices, including classification, masking, retention, and regional/data-residency requirements.
- Drive resolution of data defects, schema changes, pipeline failures, and quality issues through clear ownership and service-level expectations.
- Establish team priorities, technical direction, delivery expectations, and quality standards.
- Coach engineers in data engineering, cloud development, testing, and observability, with product-oriented delivery practices.
- Create and maintain an onshore/offshore delivery model with defined handoffs, overlap hours, documentation standards, ceremonies, and escalation paths.
- Communicate delivery progress, risks, tradeoffs, and decisions to technical and business stakeholders.
- Build a culture focused on ownership, continuous improvement, and reliable execution.
Required Qualifications
- 8+ years of data engineering, software engineering, or data-platform experience, including 2+ years leading engineers, technical workstreams, or large-scale delivery.
- Proven experience designing and delivering enterprise-scale ingestion and transformation pipelines.
- Strong hands-on expertise in SQL, Python, Spark/PySpark, and modern ELT/ETL patterns.
- Experience with Databricks, Delta Lake, or a comparable lakehouse platform, plus experience with cloud storage, orchestration, and CI/CD.
- Strong understanding of Bronze/Silver/Gold (or equivalent layered data-platform) patterns.
- Experience implementing production practices for data quality, observability, lineage, metadata, and support.
- Ability to partner with architects, data modelers, product leaders, and domain stakeholders.
- Experience leading distributed teams and building delivery practices across time zones.
- Strong communication skills, including the ability to explain technical choices, risks, and tradeoffs to non-technical stakeholders.
- Experience with Unity Catalog or comparable governance, catalog, and access-control capabilities.
- Experience with data contracts, schema evolution, change data capture, APIs, event streaming, and large-volume data processing.
- Experience supporting multiple data domains, global data products, or regional/data-residency requirements.
- Experience with infrastructure-as-code, DataOps, and automated environment provisioning.
- Experience supporting a regulated, high-scale, or operationally sensitive environment.
Technologies
- SQL, Python
- Spark, PySpark
- ELT/ETL
- Databricks, Delta Lake
- CI/CD
- Bronze/Silver/Gold
- Unity Catalog
- APIs, event streaming
- Infrastructure-as-code, DataOps
Additional Information
- External candidates may be required to attend an in-person interview with a Versant Media employee at one of its locations prior to a hiring decision.
- Versant Media provides equal employment opportunities regardless of protected status under applicable law.
- Reasonable accommodation is available for qualified individuals with disabilities or disabled veterans during the application and/or recruitment process. Submit requests to [email protected].
- Versant Media is committed to fair and equitable compensation practices and shares a good faith pay range; actual compensation is based on skills, qualifications, experience, and location, and may include additional compensation and benefits.
- Versant Media does not accept unsolicited assistance from search firms. Resumes submitted without a valid written Statement of Work will be treated as the sole property of Versant, and no fee will be paid if the candidate is hired.