Lead Analytics Engineer
We're seeking a Lead Analytics Engineer to help design, model, and scale a modern data environment for a global software organization. This role will play a key part in organizing and maturing that landscape as part of a multi-year strategic roadmap. This position is ideal for a senior-level analytics engineer who can architect data solutions, build robust models, and stay hands-on with development.
- This is a remote role with occasional onsite meetings. Candidates must currently be local to the Boston area and reside in MA/CT/RI/NH/ME.
- Long term contract. W2 or c2c.
Highlights
- Architect and build new data models using dbt and modern modeling techniques.
- Partner closely with leadership and business teams to translate complex requirements into technical solutions.
- Drive structure and clarity within a growing analytics ecosystem.
Qualifications
- Bachelor's degree in Economics, Mathematics, Computer Science, or related field.
- 10+ years of experience in an Analytics Engineering role.
- Expert in SQL and dbt with demonstrated modeling experience
- Data Modeling & Transformation: Design and implement robust, reusable data models within the warehouse. Develop and maintain SQL transformations in dbt.
- Data Pipeline & Orchestration: Build and maintain reliable data pipelines in collaboration with data engineering. Utilize orchestration tools (Airflow) to manage and monitor workflows. Manage and support dbt environments and transformations.
- Hands-on experience with BigQuery or other cloud data warehouses.
- Proficiency in Python and Docker.
- Experience with Airflow (Composer), Git, and CI/CD pipelines.
- Strong attention to detail and communication skills; able to interact with both technical and business stakeholders.
Technical Requirements
- Primary Data Warehouse: BigQuery (mandatory)
- Nice to Have: Snowflake, Redshift
- Orchestration: Airflow (GCP Composer)
- Languages: Expert-level SQL / dbt; strong Python required
- Other Tools: GCP or AWS, Fivetran, Apache Beam, Looker or Preset, Docker
- Version Control: Git / CI-CD
- Quality Tools: dbt-Elementary, dbt-Osmosis, or Great Expectations preferred
Seniority level
Employment type
Job function
- Information Technology
- IT Services and IT Consulting
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