Data Architect

8 hours, 31 minutes ago
Full-time
Senior
Data Science and Analytics
Egen.ai

Egen.ai

Egen.ai specializes in providing technology services that leverage cloud computing, data analytics, and artificial intelligence to enhance document intelligence and drive productivity and growth for its clients.

IT Services
Founded 2000

Description

  • Architect, design, and implement scalable Data Lakehouse solutions on Google Cloud using BigQuery, GCS, BigLake, and Dataplex.
  • Collaborate with customers to translate business goals, data challenges, and technical requirements into architectural blueprints and delivery plans.
  • Design and implement real-time and batch data-ingestion pipelines.
  • Establish best practices for data cataloging, metadata management, lineage, and data quality.
  • Define and implement data security, access control, and governance models that meet enterprise and regulatory standards.
  • Lead project teams by 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 scalable, maintainable solution adoption.
  • Act as a trusted technical advisor in client engagements, communicating trade-offs, recommendations, and best practices.

Requirements

  • 6+ years of progressive experience in software engineering and data platform development.
  • 5+ years of experience architecting data platforms on GCP and/or Databricks.
  • Hands-on experience designing and deploying Data Lakehouse platforms, data products, and medallion architectures.
  • Experience with real-time and batch ingestion patterns, ETL/ELT pipeline design, and orchestration tools such as Airflow and Pub/Sub.
  • Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads.
  • Experience implementing data governance, security, and cataloging solutions, such as Dataplex, Data Catalog, IAM, or equivalents.
  • Strong communication and presentation skills for technical and non-technical stakeholders.
  • Ability to lead mixed teams of engineers, analysts, and architects while remaining hands-on in delivery.
  • Experience with Databricks, Delta Lake, Unity Catalog, and hybrid GCP-Databricks architectures (preferred).
  • Strong problem-solving ability and curiosity to explore new technologies, from architecture strategy through code-level troubleshooting.

Benefits

  • Competitive salary and comprehensive benefits package.
  • Comprehensive health insurance.
  • Paid vacation/PTO, holidays, and sick leave.
  • Parental and bereavement leave.
  • 401(k) employer match.
  • Employee referral bonuses.

Interested in this position?

Apply directly on the company website

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