Data Architect

Responsibilities

• Be part of 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

Qualifications

• 6+ 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