Data Architect.

Accountabilities

In this role, you will provide technical leadership throughout the architecture, design, and delivery of enterprise data solutions. Your responsibilities will include:

• Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP), using BigQuery, Google Cloud Storage (GCS), BigLake, and Dataplex.

• Work directly with clients to understand business objectives, data challenges, and technical requirements, translating them into architectural blueprints and actionable implementation plans.

• Design and implement data pipelines for both real-time and batch ingestion using modern orchestration and streaming frameworks.

• Establish and enforce best practices for data cataloging, metadata management, data lineage, and data quality across multiple systems.

• Define and implement data security, access controls, and governance frameworks that meet enterprise and regulatory requirements.

• Serve as the technical lead for project teams, mentoring engineers, reviewing technical solutions, and maintaining architectural consistency across deliverables.

• Balance strategic architecture responsibilities with hands-on development, proof of concepts, technical deep dives, and data pipeline performance optimization.

• Collaborate with stakeholders, cloud architects, and delivery leads to ensure successful solution adoption, scalability, and long-term maintainability.

• Act as a trusted technical advisor during client engagements, clearly communicating architectural trade-offs, industry best practices, and technical recommendations.

Requirements

The ideal candidate will combine extensive data engineering and architecture experience with strong knowledge of cloud-based data platforms, technical leadership, and client engagement. Required qualifications include:

• At least 6 years of progressive experience in software engineering and data platform development.

• At least 5 years of experience architecting data platforms on Google Cloud Platform (GCP) and/or Databricks.

• Proven hands-on experience designing and deploying Data Lakehouse platforms, including data products and medallion architectures.

• Strong understanding of real-time and batch data ingestion patterns, ETL/ELT pipeline design, and data orchestration using tools such as Airflow, Pub/Sub, or comparable frameworks.

• Expertise in data modeling, storage optimization, partitioning strategies, and performance tuning for large-scale analytical workloads.

• Experience implementing data governance, security, and cataloging solutions using Dataplex, Data Catalog, IAM, or equivalent technologies.

• Excellent communication and presentation skills, with the ability to engage technical and non-technical stakeholders and guide clients through complex solution decisions.

• Demonstrated ability to lead multidisciplinary teams of engineers, analysts, and architects while combining architectural vision with hands-on delivery.

• Strong problem-solving skills, intellectual curiosity, and the ability to move between high-level architecture discussions and detailed code-level troubleshooting.

Nice to have:

• Experience with Databricks technologies, including Delta Lake and Unity Catalog.

• Familiarity with hybrid GCP and Databricks data architectures.

Benefits

• Annual salary range of $160,000–$200,000.

• Comprehensive health insurance.

• Paid vacation and paid time off (PTO).

• Paid holidays.

• Sick leave.

• Parental leave.

• Bereavement leave.

• 401(k) retirement plan with employer matching contributions.

• Employee referral bonuses.

• Comprehensive benefits package designed to support employee well-being.