Lead architecture and implementation of cloud-native data platforms on Google Cloud (BigQuery). Build unified batch/streaming pipelines, enforce IaC with Terraform, implement open table formats and governance (Dataplex/Data Catalog), automate data quality/lineage, partner with analytics and product teams, and mentor data engineers.
About Egen:
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
-> Meet Egen
-> Life at Egen
-> Culture and Values at Egen
-> Career Development at Egen
We're looking for a Lead Data Engineer to architect and build modern, cloud-native data platforms on Google Cloud. You'll lead the design of unified batch and streaming pipelines, drive data quality and governance practices, and set the technical direction for open, interoperable data architectures. This is a hands-on leadership role for someone who enjoys solving complex data problems and mentoring engineers along the way.
What You'll Do:
- Architect and optimize large-scale data platforms on Google Cloud, with BigQuery as the analytical backbone
- Design and build unified batch and streaming pipelines that handle high-volume, mission-critical workloads
- Lead infrastructure-as-code practices, ensuring environments are repeatable, secure, and version-controlled
- Implement open table formats to enable cross-cloud and cross-engine data interoperability
- Establish automated data quality, metadata, and lineage practices across the data estate
- Partner with data scientists, analysts, and product teams to translate business needs into reliable data products
- Mentor engineers, review designs, and raise the bar on engineering standards
Must-Have Skills:
- 7+ years in data engineering, with at least 2 years in a lead or senior individual contributor capacity on Google Cloud-based platforms
- BigQuery (Advanced): Deep knowledge of BigQuery architecture, including partitioning, clustering, slot management, storage optimization, and query execution tuning
- Streaming & Batch Pipelines: Strong hands-on experience building unified pipelines using Dataflow (Apache Beam), Dataproc, and Pub/Sub
- Infrastructure as Code: Production experience developing and managing cloud infrastructure with Terraform
- Open Table Formats: Working knowledge of Apache Iceberg, including its role in enabling cloud and engine interoperability (e.g., across BigQuery, Spark, Snowflake)
- Data Governance: Experience with Dataplex and Data Catalog for automated data quality checks, metadata tagging, and column-level lineage from source to destination
Nice-to-Have Skills:
- Experience leading or mentoring data engineering teams
- Familiarity with CI/CD for data pipelines (Cloud Build, GitHub Actions)
- Exposure to multi-cloud or hybrid data architectures
- Background in regulated industries (healthcare, financial services) where governance and lineage are critical
Compensation & Benefits:
This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
Check out our complete list of benefits here - >https://egen.ai/people/#benefits
Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.
Top Skills:
Anthropic ClaudeAutogenAzure OpenaiCortex AiCortex AnalystCortex SearchDbtDbt CloudDbt CoreDynamic TablesElementaryFivetranGithub ActionsGitlab CiLangchainLanggraphMatillionOpenaiPagerdutyPythonServicenowSlackSnowflakeSnowpipeSQLStreamsTasksTerraform
Automotive • Hardware • Other • Energy • Industrial
Lead design and build scalable, secure data platforms and pipelines for AI/ML. Own ingestion, transformation, storage, quality, monitoring, and real-time/batch processing. Collaborate with data scientists and ML engineers, drive data modeling and MLOps best practices, ensure governance and mentor junior engineers.
Top Skills:
AirflowAzure Data FactoryAzure Data LakeAzure Event HubAzure SynapseCi/CdCosmos DbDatabricksDevOpsEmbeddingsFeature StoreInfrastructure As CodeKafkaLlm PipelinesMlopsPythonSparkSQLSynapse PipelinesVector Databases
Fintech • Payments • Financial Services
Lead Data Engineer responsible for defining architecture, engineering standards, and best practices for the enterprise data platform, collaborating with distributed teams for modernization and scalability.
Top Skills:
AirflowAurora PostgresqlAWSKafkaRedshiftSQL Server
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
