Onebridge is a Consulting firm with an HQ in Indianapolis, and clients dispersed throughout North America and beyond. We have an exciting opportunity for a highly skilled Data Architect to join an innovative and dynamic group of professionals at a company rated among the top “Best Places to Work” in Indianapolis since 2015.
Data Architect | About You
As a Data Architect, you are responsible for designing scalable data architectures that align with business objectives. You have a proven ability to define both current and future-state architectures, working closely with cross-functional teams to shape data-driven products. Your expertise in modern data platforms and governance tools enables you to deliver high-quality, sustainable solutions while promoting data governance and democratization initiatives.
Data Architect | Day-to-Day
Assess and recommend current and future-state data architectures aligned with business goals.
Collaborate with stakeholders and Solution Delivery Managers to develop a comprehensive data product roadmap.
Define and design data products, including interaction maps, MVP specifications, and data models.
Implement and operationalize data governance practices, focusing on data integrity, security, and access controls.
Optimize existing data systems, plan for future scalability, and troubleshoot performance issues.
Showcase data products through continuous validation and business-friendly reporting to ensure value delivery.
Data Architect | Skills & Experience
10+ years of experience as a Data Architect with expertise using Informatica IICS, Collibra Data Governance, Snowflake, and Power BI.
Expertise in designing and developing data products with a focus on data mesh infrastructure and scalable solutions.
Strong knowledge of data governance practices, including data lineage, data freshness, and catalog maintenance.
Proficiency in data modeling, database management, and ETL processes across relational and cloud platforms (e.g., SQL, NoSQL, AWS, Azure).
Ability to manage data product roadmaps, user story backlogs, and MVP specifications to align with business needs.
Excellent communication and problem-solving skills, with a track record of delivering data solutions that drive business outcomes.