Principal Data Lead
B
BixalData Consulting
United StatesFull-TimePrincipal
Salary160,000 - 200,000 USD per year
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Job Details
- Experience
- At least 12 years
- Required Skills
- PythonSQLSnowflakeDatabricks
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
- At least 12 years of related professional experience.
- Demonstrated experience owning or leading a data strategy for a large, multi-source enterprise data platform.
- Experience designing and operating metadata governance or maturity programs.
- Proficiency with modern cloud data platforms (e.g., Databricks, Snowflake, AWS) and metadata/catalog tooling (e.g., Unity Catalog, Collibra, Alation).
- Experience defining and enforcing data quality standards, including completeness, conformance, freshness, and defect tracking.
- Working knowledge of distributed data processing concepts and common query languages (SQL, Python, Scala).
- Excellent written and verbal communication skills with the ability to translate technical concepts for non-technical stakeholders.
- Professional certification in a cloud/data platform, data governance (DAMA CDMP), or Agile delivery (SAFe).
- Must be able to obtain and maintain a Public Trust security clearance.
Responsibilities
- Own execution of the data strategy for a large-scale enterprise data platform, aligning day-to-day delivery with the organization’s broader data strategy and strategic goals.
- Serve as the primary coordination point across multiple upstream source-system teams and business data owners, managing handoffs, ingestion readiness, and shared metadata standards across the ecosystem.
- Lead the data supply chain — source onboarding, ingestion, and transformation — and drive a multi-phase metadata maturity program.
- Govern the promotion of data through a tiered catalog architecture, defining clear admission criteria.
- Set and maintain data quality standards across the platform, including completeness, conformance, freshness against SLAs, and defect/rework tracking.
- Partner with engineering, product, and AI/platform teams to ensure metadata and data quality are sufficient to support expanding self-service analytics and AI use cases.
- Establish and track measures of data quality, metadata coverage, and promotion/certification cycle time.
- Communicate data strategy progress, risks, and dependencies to technical and non-technical stakeholders, including client leadership.
- Participate in Agile/SAFe delivery cadences, including planning, backlog refinement, and retrospectives.
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