Data Engineering Lead

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An experienced Data Engineering Lead to deliver a Snowflake migration program, leveraging strong knowledge in Snowflake, Fivetran, DBT, and orchestration tools. As a POD Lead, you will define development and coding standards, set frameworks, define standards, and remove external impediments. You will collaborate with various stakeholders to unblock project blockers and drive the successful migration to Snowflake.

Key Responsibilities:

Technical Leadership

1. Lead the design and implementation of the Snowflake migration program, ensuring successful data migration, integration, and optimization.
2. Define and implement development and coding standards for data engineering, leveraging Snowflake, Fivetran, DBT, Python, and orchestration tools.
3. Maintain strong knowledge in ADO and CI/CD standards/pipelines.
4. Set technical frameworks and guidelines for data engineering projects, ensuring alignment with overall technical vision.
5. Collaborate with architects to ensure alignment with overall technical vision.

Snowflake Migration Program

1. Develop and execute a comprehensive migration plan, including data ingestion, processing, and storage.
2. Design and implement data pipelines using Fivetran, DBT, and Snowflake.
3. Ensure data quality, integrity, and security throughout the migration process.
4. Ensure Chaucer data governance policies and procedures are adhered to, as well as regulatory rules.

Team Leadership and Collaboration

1. Lead a team of data engineers, providing technical guidance and mentorship.
2. Remove external impediments, ensuring the team can deliver high-quality results.
3. Collaborate with product owners, designers, and other stakeholders to define project requirements.
4. Prioritize and manage the team's workload, ensuring efficient delivery of projects.

Collaboration and Communication

1. Collaborate with cross-functional teams, including data science, product, and business stakeholders.
2. Communicate technical plans, progress, and issues to stakeholders.
3. Foster a culture of innovation, experimentation, and continuous learning.
4. Identify and mitigate project blockers, collaborating with stakeholders to resolve issues.
5. Report KPIs on engineering delivery to the leadership team via weekly/monthly updates and participate in monthly townhalls representing the engineering workstream.

Requirements:

1. Bachelor's degree in Computer Science, Engineering, or a related field.
2. 15+ years of experience in data engineering, with 5+ years in a leadership role.
3. Strong knowledge in Snowflake, Fivetran, DBT, and orchestration tools (e.g., Apache Airflow, Prefect).
4. Proven leadership and management experience, with the ability to motivate and inspire teams.
5. Excellent communication and collaboration skills, with the ability to work with cross-functional teams.

Nice to Have:

1. Certifications in data engineering, such as Snowflake Certified Data Engineer or AWS Certified Data Engineer.
2. Experience with cloud-based data platforms, such as Azure, AWS, or GCP.