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

Principal Data Architect – GCP Expertise

Key skills