Lead Data Engineer

Job Summary:

We are looking for a Lead Data Engineer with deep expertise in Data Vault 2.0, Snowflake, and DBT/Coalesce. The candidate will lead enterprise data engineering initiatives, drive solution architecture, establish engineering standards, and oversee data platform modernization, technical strategy, and delivery across multiple teams.

Roles and Responsibilities:

• Lead the design and implementation of enterprise data solutions using Data Vault 2.0, Snowflake, and DBT/Coalesce.
• Drive solution architecture reviews, technical decision-making, and technology adoption across teams.
• Define and enforce Data Vault modeling standards, architecture governance, and data engineering best practices.
• Lead stakeholder engagement, delivery planning, risk management, and execution oversight.
• Provide cross-team technical leadership and align engineering, architecture, business, and platform teams.
• Drive data platform modernization initiatives and establish the long-term technical roadmap.
• Guide engineering teams on performance optimization, data quality, scalability, and reliable pipeline delivery.

Mandatory Skills:

• Data Vault 2.0: Deep expertise in architecture, modeling, and implementation.
• Snowflake and DBT/Coalesce: Strong hands-on experience in data warehouse development and transformation.
• Strong understanding of PySpark, SQL, AWS, and Apache Airflow.
• Expertise in enterprise data architecture, data modeling, and ETL/ELT pipelines.
• Proven experience in technical leadership, architecture governance, and cross-team collaboration.
• Strong stakeholder management, delivery planning, risk management, and execution oversight skills.

Preferred Skills:

• Experience leading enterprise data platform modernization and cloud migration initiatives.
• Knowledge of CI/CD, Git, automated testing, and deployment practices.
• Experience defining enterprise technology roadmaps and driving technology adoption.
• Familiarity with Agile delivery methodologies and large-scale program execution.

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