Data Architect

Responsibilities:

• Define and manage data architecture strategy, including scalable data models and target-state designs aligned with business goals

• Establish standards for ETL, data governance, and data quality across the data platform

• Design and oversee modern data platforms, including pipelines, CI/CD processes, and containerized deployments

• Act as a bridge between data and infrastructure teams by translating data requirements into technical specifications and reviewing IaC deliverables

• Define observability, reliability, and recovery standards for data systems.

• Conduct technical reviews, support incident resolution, and drive continuous platform improvements.

• Promote DataOps practices, evaluate new technologies, and mentor data engineering teams.

Requirements:

• Degree in Computer Science, IT, or related disciplines.

• 7+ years of experience across data engineering and cloud/data architecture, with prior technical leadership exposure.

• Strong expertise in Azure data services (e.g., Databricks, Data Factory, Synapse, Data Lake).

• Solid knowledge of data architecture concepts (e.g., data modeling, Lakehouse, Medallion architecture).

• Familiarity with Infrastructure-as-Code (e.g., Terraform, Ansible) and ability to review code.

• Understanding of CI/CD, containerization (Docker/Kubernetes), and version control practices.

• Strong communication skills with the ability to bridge technical and business teams.

• Strategic mindset, leadership capability, and experience working in collaborative, multicultural environments.