Lead Data Engineer

Job summary

Lead Data Engineer – Snowflake, dbt, Snowpipe & Data Vault Locations: Dallas, TX | Raleigh, NC | Phoenix, AZ Employment Type: Full-Time Experience: 9–10+ years Work Authorization: U.

Qualifications

• Experience: 9–10+ years
• We are seeking an experienced Lead Data Engineer with strong expertise in Snowflake, dbt, Snowpipe, and enterprise data warehouse development.
• The ideal candidate will have hands-on experience designing and delivering scalable cloud data platforms using dbt Vault/dbtvault, particularly for file-based data sources and multiple OLTP systems.
• This role requires a strong combination of data architecture, engineering leadership, dimensional and Data Vault modeling, performance optimization, and production delivery experience.
• into scalable data models and technical solutions.
• Establish engineering standards for naming conventions, source control, code reviews, testing, and CI/CD.
• Provide technical leadership, conduct design reviews, mentor developers, and support delivery planning.
• Troubleshoot production issues involving data pipelines, transformation logic, data quality, and performance.
• Collaborate with security and governance teams to implement role-based access, data masking, lineage, and compliance controls.
• Required
• 9–10+ years of experience in data engineering, data warehousing, ETL/ELT, and enterprise data-platform delivery.
• Strong hands-on experience with Snowflake architecture, SQL development, performance tuning, and administration concepts.

Responsibilities

• Lead the design, development, and implementation of enterprise data warehouse solutions on Snowflake.
• Build scalable ingestion and transformation pipelines using Snowpipe, Snowflake, dbt, SQL, and related cloud

Skills

Degrees

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