Data Architect

Key Responsibilities:

• Lead the data architecture practice – defining best practices, governance standards, and target architecture.
• Design and oversee data pipelines and integration from legacy systems into Snowflake (with exposure to Azure Data Lake/Databricks).
• Collaborate with business/product owners and enterprise architects to ensure alignment with business needs and regulatory standards.
• Guide API/data pipeline architecture, performance optimization, and automation.
• Engage with data mesh teams as both data producer and consumer.
• Ensure compliance with privacy, security, and data retention policies.
• Be hands-on with pipelines in early phases until the team expands.

Required Experience:

• Proven data architecture leadership (governance, privacy, retention, trade-off decisions).
• Strong background in data engineering (ideally started as an engineer before becoming architect).
• Expertise in Snowflake and cloud platforms (Azure preferred).
• Experience with pipeline design, CI/CD, and infrastructure-as-code (Terraform/IaC).
• Familiarity with TOGAF/C4 models and data mesh concepts.
• Excellent stakeholder management and collaboration skills.

Nice-to-Haves:

• Experience with Databricks or Azure Data Factory.
• Financial services industry background (preferred) or healthcare.
• Cloud/data certifications.
• Exposure to high-volume, low-latency systems.