Principal Data Architect
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Job Description
Principal Data Architect designing scalable GCP Data Lakehouse platforms for Egen’s data and insights consultancy. Leading client architecture, pipelines, governance, and technical delivery.
Responsibilities:
- Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform using BigQuery, GCS, BigLake, and Dataplex
- Collaborate directly with customers to understand business goals, data challenges, and technical requirements and translate them into architectural blueprints and actionable plans
- Design and implement data pipelines for real-time and batch ingestion using modern orchestration and streaming frameworks
- Establish best practices for data cataloging, metadata management, lineage, and data quality
- Define and implement data security, access control, and governance models
- Serve as technical lead for project teams, mentoring engineers, reviewing solutions, and ensuring architectural consistency
- Conduct hands-on solutioning, proofs of concept, data-pipeline deep dives, and performance tuning
- Partner with stakeholders, cloud architects, and delivery leads to drive solution adoption, scalability, and maintainability
- Represent Egen as a trusted technical advisor in client engagements
Requirements:
- 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
- Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads
- Experience implementing data governance, security, and cataloging solutions (Dataplex, Data Catalog, IAM, or equivalent)
- Excellent communication and presentation skills, able to engage with technical and non-technical stakeholders and guide clients through solution decisions
- Demonstrated ability to lead mixed teams of engineers, analysts, and architects, balancing architectural vision with hands-on delivery
- Strong problem-solving mindset, curiosity to explore new technologies, and ability to handle architecture discussions and code-level troubleshooting
- Experience with Databricks (Delta Lake, Unity Catalog) and hybrid GCP-Databricks data architectures (nice to have)
Benefits:
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
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