[Hiring] Data Architect @Egen

Role Description

• 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.

Requirements

• $160,000 - $200,000 a year.
• This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.
• Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.

Benefits

• Comprehensive Health Insurance
• Paid Leave (Vacation/PTO)
• Paid Holidays
• Sick Leave
• Parental Leave
• Bereavement Leave
• 401 (k) Employer Match
• Employee Referral Bonuses