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About the Role

Lead engineering resources to deliver trusted, scalable, and reusable data products from source systems through the Silver layer of our enterprise data platform. Accountable for turning product and business needs into reliable, governed data capabilities.

Responsibilities

Lead delivery of source-to-Silver data products
Lead and develop a distributed/offshore team of Data Engineers
Translate product roadmaps and requirements into actionable engineering plans, milestones, estimates, dependencies, and delivery commitments
Design and oversee ingestion, transformation, standardization, orchestration, and publication of data from various sources
Ensure Silver-layer data products are validated, standardized, documented, reusable, performant, secure, and ready for Gold-layer analytics and AI consumption
Establish repeatable patterns for batch, incremental, change-data-capture, and event-driven processing
Implement reusable data-engineering frameworks, templates, libraries, and pipeline patterns
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 use approved workspace, compute, storage, security, and deployment patterns
Identify technical debt and lead pragmatic improvements
Work with Data Modelers to implement canonical entities, conformed dimensions, data contracts, source-to-target mappings, and enterprise modeling standards
Work 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
Establish data profiling, reconciliation, quality testing, freshness monitoring, lineage, and alerting for every delivered data product
Ensure source-to-Silver traceability, including authoritative source identification, transformation logic, ownership, metadata, and data-quality expectations
Implement appropriate access controls, sensitive-data classification, masking, retention, and regional/data-residency requirements
Drive resolution of data defects, schema changes, pipeline failures, and quality issues
Set clear priorities, technical direction, delivery expectations, and quality standards for the engineering team
Coach engineers in data engineering, cloud development, testing, observability, and product-oriented delivery practices
Create a healthy onshore/offshore delivery model with defined handoffs, overlap hours, documentation standards, ceremonies, and escalation paths
Communicate delivery progress, risks, tradeoffs, and decisions clearly to technical and business stakeholders
Build a culture of ownership, continuous improvement, and reliable execution

Requirements

8+ years of data engineering, software engineering, or data-platform experience
2+ years leading engineers, technical workstreams, or large-scale delivery
Demonstrated 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
Experience with cloud storage, orchestration, and CI/CD
Strong understanding of Bronze/Silver/Gold or equivalent layered data-platform patterns
Experience implementing data quality, observability, lineage, metadata, and production support practices
Proven ability to partner with architects, data modelers, product leaders, and domain stakeholders
Experience leading distributed teams and creating effective delivery practices across time zones
Strong communication skills and 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 in a regulated, high-scale, or operationally sensitive environment

Skills

SQL
Python
Spark/PySpark
ELT/ETL patterns
Databricks
Delta Lake
Cloud storage
Orchestration
CI/CD
Data quality
Observability
Lineage
Metadata
Production support
Unity Catalog
Data contracts
Schema evolution
Change data capture
APIs
Event streaming
Large-volume data processing
Infrastructure-as-code
DataOps
Automated environment provisioning

Location

Remote

Work Type

Full-time

Experience Level

Lead
8+ years
2+ years leading

Salary/Compensations

USD 170000 - USD 190000 - yearly

Benefits

Health insurance
Retirement plans
Paid time off

About the Company

VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections.
It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment.
These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.

Equal Opportunity

VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].