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Responsibilities:
- Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on GCP using BigQuery, GCS, BigLake, and Dataplex.
- Collaborate directly with customers to understand business goals, data challenges, and technical requirements; translate them into robust architectural blueprints and actionable plans.
- Design and implement data pipelines supporting both real-time and batch ingestion using modern orchestration and streaming frameworks.
Qualifications:
- 8–10 years of progressive experience in Software Engineering and Data Platform development, with 5+ years architecting data platforms on GCP and/or Databricks.
- Proven hands-on experience designing and deploying Data Lakehouse platforms with data products and medallion architectures.
- Strong understanding of data ingestion patterns (real-time and batch), ETL/ELT pipeline design, and data orchestration using tools such as Airflow, Pub/Sub, or similar frameworks.
Compensation & Benefits:
- Competitive salary range $195,000 - $270,000 per year.
- Comprehensive Health Insurance, Paid Leave, Paid Holidays, Sick Leave, Parental Leave, Bereavement Leave, 401(k) Employer Match, and Employee Referral Bonuses.
Egen
Egen is a data-first technology company that helps clients drive action and impact through data and insights using advanced platforms like Google Cloud and Salesforce. It is a fast-growing, entrepreneurial company with a culture dedicated to learning, innovation, and solving tough problems.