Data Architect

Skills

Collaborate with stakeholders to define and cast the data vision aligned with business objectives. Lead the design and development of data architectures that include Data Lakes Databricks environments and Snowflake platforms. Establish data governance frameworks policies and documentation to ensure data quality privacy and compliance. Architect and implement end-to-end data pipelines that support queryable and consumable models. Participate in platform setup and configuration to ensure scalability and reliability. Develop comprehensive documentation including an Architecture Overview and Data Development Process Guidelines. Work closely with business teams to define KPIs and implement Phase 1 metrics. Translate business and data domain requirements into actionable deliverables across multiple phases.

Description

We are seeking a Data Architect to join our team and drive the successful implementation of data infrastructure from the ground up. This role requires a hands-on leader with expertise in Data Modeling, Data Pipelines, Data Lakes, Databricks, and Snowflake, and proficiency in Python and SQL. The ideal candidate will have experience working on end-to-end data projects, from vision casting to final delivery, and will be responsible for translating business needs into robust data solutions.



In this role, you will be working closely with clients to build their data strategy, ensure governance, and develop an architecture that supports their business metrics. This is a high-impact, strategic role with direct involvement in platform setup, governance planning, and implementation.

Responsibilities

• 5+ years of experience in data architecture, with proven expertise in Data Modeling, Data Lakes, and Databricks.
• Strong hands-on experience with Snowflake, Python, and SQL.
• Demonstrated ability to design and implement data pipelines from scratch.
• Knowledge of data governance best practices and experience creating governance documentation.
• Experience setting up data platforms and defining architecture roadmaps.
• Excellent communication and collaboration skills, with the ability to work directly with clients to gather requirements and deliver solutions.
• Proven experience leading multi-phase data projects from planning through to execution.