Lead Data Lakehouse Architect - GCP & Data Governance

Egen; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

Paid Leave (Vacation/PTO)

Paid Holidays

Sick Leave

Parental Leave

Bereavement Leave

401(k) Employer Match

Employee Referral Bonuses

Job summary

Egen seeks a senior Data Platform Architect to lead end-to-end architecture of scalable Data Lakehouse solutions on Google Cloud Platform, leveraging BigQuery, GCS, BigLake, and Dataplex.

You will collaborate with customers to translate business goals into robust blueprints and actionable plans, design data ingestion for real-time and batch workloads, and drive governance and security across implementations.

Qualifications

• 8-10 years of progressive software engineering and data platform experience.
• 5+ years architecting data platforms on GCP and/or Databricks.
• Experience with data lakehouse architectures and medallion patterns.
• Experience with data governance, security, and cataloging (Dataplex, Data Catalog, IAM).
• Strong communication and ability to guide clients through decisions.

Responsibilities

• Lead end-to-end architecture and implementation of scalable Data Lakehouse solutions on GCP (BigQuery, GCS, BigLake, Dataplex).
• Collaborate with customers to translate goals into architectural blueprints and actionable plans.
• Design and implement data pipelines for real-time and batch ingestion.
• Establish data cataloging, metadata management, lineage, and data quality practices.
• Define and enforce data security and governance models compliant with standards.
• Mentor engineers, review solutions, and ensure architectural consistency.
• Balance strategic discussions with hands-on delivery and POCs.

Skills

GCP

Databricks

Airflow

Data modeling

Data orchestration

Communication skills

Leadership

Tools

BigQuery

GCS

Dataplex

Data Catalog

IAM

Pub/Sub

Unity Catalog

Job description

Egen seeks a senior Data Platform Architect to lead end-to-end architecture of scalable Data Lakehouse solutions on Google Cloud Platform, leveraging BigQuery, GCS, BigLake, and Dataplex.

You will collaborate with customers to translate business goals into robust blueprints and actionable plans, design data ingestion for real-time and batch workloads, and drive governance and security across implementations.