Sr. Data Management Analyst

Role Overview

This role is ideal for a technically strong data professional who understands how data moves across systems from live operational sites to software testing environments and how validated data supports mission-critical decision-making.

You will help define and enforce data contracts, manage ingestion pipelines, ensure data quality, and bring clarity to what it means when data is production-ready and available for internal teams.

This is a 6-month contract with structured milestone reviews at 30, 60, and 90 days.

What You ll Do

Data Contracts & Governance

• Define and implement data contracts using JSON, AsyncAPI, and YAML
• Clarify expectations around what it means when data lands in a dataset
• Establish validation standards and acceptance criteria for internal consumption
• Document schema definitions, data lineage, and governance processes
• Partner cross-functionally to align data expectations across engineering, site, product, and testing teams

Data Pipeline Management

• Support and monitor 40 50 active data pipelines across environments
• Work with:

• Data pipelines originating from live site operations
• Data pipelines used to test and validate software systems

• Improve ingestion reliability and pipeline observability
• Ensure stable, trusted datasets in Google BigQuery

Data Quality & Validation

• Implement data quality control frameworks
• Define validation checkpoints and monitoring processes
• Translate technical validation status into clear business meaning
• Support teams that rely on accurate data for operational and critical decision-making

Technical Execution

• Develop and optimize advanced SQL queries
• Work extensively with Google BigQuery (BQ)
• Use Python for automation, validation, and transformation
• Maintain version control standards using Git
• Define and document scalable workflows for structured data management

What We re Looking For

Required Experience

• Advanced SQL skills (joins, aggregations, optimization, performance tuning)
• Hands-on experience with Google BigQuery
• Technical background in data contracts (JSON, AsyncAPI, YAML)
• Experience defining data contracts
• Experience building and maintaining data ingestion pipelines
• Strong understanding of data validation, schema enforcement, and quality control
• Experience managing multiple concurrent data pipelines (40+ preferred)
• Proficiency with Python and Git
• Experience defining and operationalizing data workflows

Soft Skills

• Strong cross-functional communication skills
• Ability to translate technical concepts into business-relevant insights
• Comfortable working in fast-paced, complex environments