Data Architect

You might be our missing piece if you have:

• 5+ years of experience in data architecture and modeling, ideally in large-scale, enterprise environments.
• Deep experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (e.g., DBT, Redshift, Snowflake, BigQuery, Airflow).
• Strong command of data modeling techniques (dimensional, normalized, hybrid), including experience with data warehouse/lakehouse environments.
• Solid understanding of ETL/ELT pipelines, version control, orchestration, and CI/CD in data workflows.
• Familiarity with data privacy and compliance standards, and experience implementing data governance frameworks.
• Excellent verbal and written communication skills; ability to convey complex concepts to technical and business audiences.
• Experience working in Agile development environments.

We would be thrilled if you have:

• Strong understanding of data lake and cloud-based data solutions.
• Familiarity with high-performance query optimization techniques.
• Exposure to AI/ML project workflows and their data preparation needs.

We will be working together on:

• Data Architecture & Strategy – Design and implement scalable, cloud-based data architectures. Oversee data pipelines, modeling, and storage using tools like DBT, Redshift, Snowflake, or BigQuery. Align solutions with business needs and build strong client relationships.
• Data Modeling – Develop and govern conceptual, logical, and physical data models following best practices (Kimball, Data Vault, 3NF). Ensure models are scalable, maintainable, and well-documented.
• Governance, Security & Compliance – Establish data governance strategies for quality, security, privacy, and regulatory compliance (e.g., GDPR). Implement metadata management and lineage tracking.
• Client & Stakeholder Engagement – Act as a strategic partner, advising clients on Data & AI roadmaps, emerging technologies, and best practices. Facilitate architecture reviews and cross-functional collaboration.
• Innovation & Enablement – Stay ahead of industry trends, mentor teams, and contribute to reusable frameworks, documentation, and best practices.