Data Governance Architect

About Infostrux Infostrux is one of North America’s fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier—a reflection of our deep expertise and impact.

We help organizations unlock the value of their data by building modern, cloud-native platforms that power analytics, AI, and machine learning. Our work spans the modern data stack—covering data engineering, architecture, integration, and modelling—with Snowflake as one of our core partners.

From startups to Fortune 500s across industries like finance, health, gaming, and retail, we design and deliver scalable data solutions that enable faster, smarter, data-driven decisions. And as proud recipients of the Great Place to Work® Certification (2025), we are equally committed to fostering a culture of trust, collaboration, and growth for our people.

Job Summary As a Data Governance Architect at Infostrux, you will own the delivery of a data governance workstream from end to end, leading a team of data governance associates, specialists, and engineers and serving as the senior governance voice in front of the client. You will design the governance solution, run the delivery team day-to-day, and be accountable for the outcome.

Data governance works only when the business and technical sides are designed together, and this role spans both. On the advisory side, you will shape how the client's organization manages its data: defining processes, clarifying ownership and accountability, and leading the change management that makes new ways of working stick. On the technical side, you will guide the implementation that puts those decisions into practice, from data catalog rollout to data quality frameworks. You bring a complete view of the client's data platform through a governance lens, along with the project management and consulting skills to turn that view into a plan the client trusts and a team can deliver against.

You don't need to be the engineer building the pipelines, but you do need to understand the technology well enough to govern it. That means designing, specifying, and validating governance controls on the technical implementation, and working as a peer with data engineers rather than handing requirements over a wall. This role is for someone equally comfortable facilitating a conversation with business stakeholders and reviewing how access, lineage, and quality controls are actually built.

What you’ll get to do

Leadership:

Lead the governance workstream end-to-end, from discovery and current-state assessment through design, implementation, handover, and adoption. Manage the work of a team of data governance associates, specialists and engineers to achieve it.

Discovery & design:

Run the technical discovery and own the design of the governance solution for the workstream.

Backlog ownership:

Build the project backlog and own it through delivery; ensure tickets are written, groomed and estimated, and manage the team's workload.

Delivery team management:

Direct the day-to-day work of team members; run engagement ceremonies (stand-ups, reviews, retros).

Quality of delivery:

Accountable for implementation and for testing and validation of the workstream's deliverables.

Technical communications:

Own architecture and design documentation for the workstream and the propagation of changes to the client and team.

Client leadership:

Act as the senior governance voice in front of the client for the workstream.

Engagement support:

Consulted by senior stakeholders on billing, engagement financials, status reporting and SoW change requests.

Mentorship:

Mentor L0–L1 team members on their projects and provide input to their yearly career reviews.

What you’ll bring

A passion for turning data into a trusted asset , with a strong understanding of data governance principles, best practices, and the ability to apply them in real-world, cross-functional environments.

Data Governance

understanding of metadata management,data quality, master data mgmt. capabilities, and data governance tools.

Technical expertise across modern data ecosystems; data engineering working understanding of data platform architecture, access control, data quality control, data protection, data modelling, auditability and evidence

Strong SQL and data analysis skills , a