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Boutique Recruitment Agency sourcing Leaders for growth businesses.
Principal Data Engineer
Location
United States
Posted
30 days ago
Salary
0
Seniority
Lead
Job Description
Principal Data Engineer
Serv Recruitment Agency
• Own the design and delivery of the company’s data platform • Define and own the foundational data architecture including data models and relationships • Establish data contracts and guide the evolution to analytical and AI-ready systems • Design and build end-to-end data pipelines from ingestion through serving layers • Implement scalable ingestion from relational databases, object storage, event streams, and SaaS APIs • Establish data quality, observability, schema management, and pipeline reliability standards • Design multi-tenant data models, storage layouts, and access patterns • Implement tenant-aware security including row-level and column-level controls • Define data lifecycle management including retention, archival, and deletion strategies • Establish data governance standards including classification, lineage, and auditability • Partner with security and compliance teams to ensure privacy and regulatory alignment • Design serving layers for analytics, reporting, and internal business use • Prepare data systems to support AI-enabled capabilities including embeddings and advanced data structures • Evaluate and implement graph-based data models where appropriate • Mentor engineers and provide architectural oversight • Drive data literacy and data-informed decision making across the organization
Job Requirements
- 10+ years of experience in data engineering with principal-level ownership
- Proven experience owning foundational data architecture in production environments
- Strong experience with modern data pipelines across batch and streaming systems
- Deep expertise in data modeling for both operational and analytical use cases
- Proven experience designing multi-tenant data systems and isolation strategies
- Strong understanding of data governance, privacy, and sensitive data handling
- Advanced SQL skills and experience with modern processing frameworks such as Spark, Flink, or equivalent
- Experience with AWS data services including S3, Glue, Kinesis, RDS, or similar
- Experience ingesting and modeling data from document-based systems such as MongoDB
- Experience working with graph data models and graph databases such as Neo4j or Amazon Neptune
- Experience with modern cloud data warehouses such as Snowflake or Redshift
- Experience with data transformation tools such as dbt including testing and CI/CD
- Experience building ingestion pipelines from CDC, object storage, and streaming systems
- Experience managing or governing external data vendors and partners
- Experience communicating data strategy and tradeoffs to executive stakeholders.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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