Serves as technical lead and data architect for the Teradata data warehouse
Designing and driving platform modernization
Documenting data heat-maps from source to target, business transformation logic, and full lineage that enables improvement efforts
Drive certified data products with embedded quality, data governance, and long-term platform strategy
Learns, documents, and maps current application architecture, ingestion patterns, data flows, and platform constraints
Create a clear modernization roadmap
Partners with stakeholders to translate business needs into data solutions
Guides and mentors data ingestion developers
Defines, evolves, and automates the data access and security model
Pushes automation across access provisioning, ingestion pipelines, testing, and deployment
Promotes operationalization of modern platform practices
Leads incident triage and Root Cause and Correct Action (RCCA) efforts
Performs data analysis, impact assessments, and performance tuning across ingestion, ETL/ELT, cleansing, and storage layers
Builds trusted relationships with internal data consumers
Communicates progress, risk, and technical tradeoffs clearly to leadership and stakeholders
Requirements
10+ years of experience as a technical lead or architect on complex data warehouse and data engineering initiatives
10+ years of experience performing impact analysis, troubleshooting complex issues, and producing clear technical documentation
10+ years of experience with relational and cloud data platforms (Oracle, SQL Server, DB2, BigQuery, Redshift, databricks etc.)
5+ years of experience with Teradata and enterprise-scale data warehousing concepts (ingestion, ETL/ELT, partitioning, indexing, performance tuning, data quality, data observability, data management)
5+ years of experience with data governance - data protection, privacy, and access controls (PII handling, export-controlled data, and row-level security)
5+ years of experience with control models: role-based, attribute-based, and policy-driven approaches
5+ years of experience with scripting and programming skills for automation and tooling (e.g., Python, Bash, SQL, PySpark engine or similar)
Benefits
Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architecturedata warehousingETLELTdata governancedata qualityperformance tuningautomationscriptingprogramming