We are looking for a Lead Data Engineer to drive the design and implementation of scalable data solutions, pipelines, and analytics-ready datasets.
What You’ll Do
Lead design and implementation of data pipelines, transformations, and curated datasets
Translate business requirements into structured data solutions and models
Guide and execute development of reusable, analytics-ready data assets
Ensure consistency in how key data elements are defined and used across systems
Collaborate with stakeholders to define and refine data requirements and logic
Review and guide engineering work to ensure quality, performance, and scalability
Establish best practices for data engineering, transformation, and data quality
Support integration of data across multiple domains and systems
Contribute to architecture decisions across data platforms and tooling
Mentor and support other engineers on the team
What You Bring
Must-Haves
5+ years of experience in data engineering, analytics engineering, or related fields
Strong SQL expertise and experience designing complex data transformations
Hands-on experience with modern data platforms (e.g., GCP BigQuery, Databricks, Snowflake)
Data platforms experience. ELT or ETL, orchestration such as Airflow or dbt, Spark, data warehouses and lakehouses such as Snowflake, BigQuery, or Databricks, streaming such as Kafka or Kinesis, metadata and data quality
Proficiency in Python
Strong understanding of data modeling concepts and data structuring for analytics
Experience working with stakeholders to define requirements and deliver data solutions
Ability to balance hands-on delivery with technical guidance
Nice-to-Haves
Familiarity with data governance, lineage, or metadata management concepts
Experience working with cross-domain data (e.g., customer, product, transactions)
Exposure to financial services or other data-intensive industries
Experience supporting migration or evolution of data platforms (e.g., toward Databricks)
Experience with orchestration tools (e.g., Airflow, Cloud Composer)
Exposure to data modeling concepts (e.g., dimensional models, data marts, reusable datasets)
What’s in It for You
Impact at scale. Help shape enterprise AI, software, and data programs across industries.
Growth and mastery. Work with a seasoned team from leading consulting and technology backgrounds.
Build real products. Work on production ready assets with autonomy over key technical decisions.
