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LeadFull-timeRustAWSGit
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform at tvScientific. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization.
Key Responsibilities
- →Design and maintain a scalable identity resolution platform
- →Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
- →Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
- →Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
- →Build and operate batch and streaming pipelines using modern data stack tools
- →Create clear documentation, standards, and runbooks for identity and governance systems
- →Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
- →Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
- →Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
- →Establish monitoring and alerting for data quality, freshness, and integrity
Requirements
- ✓Data engineering experience with proven track record building data infrastructure using Spark with Scala
- ✓Proven experience building data infrastructure using Spark with Scala for at least 5 years
- ✓Experience in delivering significant technical initiatives and building reliable, large scale services
- ✓Experience in delivering APIs backed by relationship-heavy datasets
- ✓Experience implementing data governance practices, including data quality, metadata management, and access controls
- ✓Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- ✓Familiarity with data lakes, cloud warehouses, and storage formats
- ✓Strong proficiency in AWS services
- ✓Successful design and implementation of scalable and efficient data infrastructure
- ✓High attention to detail in implementation of automated data quality checks
- ✓Effective collaboration with cross-functional teams
- ✓Excellent written and verbal communication skills
- ✓Bachelor's degree in Computer Science or a related field
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