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Principal Data Architect

Egen
Remote, USA
Full-time
Senior Level
Remote
USD 195000-270000 yearly
Discovered 2 months ago

Full Job Posting

  • Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (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
  • Establish and enforce best practices for data cataloging, metadata management, lineage, and data quality across multiple systems
  • Define and implement data security, access control, and governance models in compliance with enterprise and regulatory standards
  • Serve as the technical lead for project teams - mentoring engineers, reviewing solutions, and ensuring architectural consistency across deliverables
  • Balance strategic architecture discussions with hands-on solutioning, POCs, and deep dives into data pipelines or performance tuning
  • Partner with stakeholders, cloud architects, and delivery leads to drive solution adoption, scalability, and long-term maintainability
  • Represent the company as a trusted technical advisor in client engagements - clearly articulating trade-offs, best practices, and recommendations
  • 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 confidently engage with technical and non-technical stakeholders and guide clients through solution decisions
  • Demonstrated ability to lead by example in mixed teams of engineers, analysts, and architects, balancing architectural vision with hands-on delivery
  • Nice to have: Experience with Databricks (Delta Lake, Unity Catalog) and hybrid GCP-Databricks data architectures
  • Strong problem-solving mindset, curiosity to explore new technologies, and ability to “zoom out” for architecture discussions and “zoom in” for code-level troubleshooting

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