Managing Consultant, Data Architect

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success.

You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Hakkoda, an IBM company, is a modern data and AI consultancy. Our mission is to push the boundaries of data and AI, to be the partner clients trust for their most complex data challenges, and to create the kind of company that people want to be a part of. We bring deep expertise to Snowflake and the broader modern data stack, we are easy to work with, and we turn repeat problems into reusable solutions.

Our team is distributed across North America, Latin America, and Europe, and we hire curious people who want to learn, experiment, and lead.

We are looking for a Managing Consultant, Data Architect to join our growing team of experts. This position is the principal technical authority for enterprise data and AI platforms across a portfolio of client engagements, with Snowflake and Databricks and cloud-native services on AWS, Azure, and GCP alongside it. The work spans target-state architecture and roadmaps, data modeling and integration patterns, security and governance architecture, and the reference architectures and standards that keep delivery consistent across engagements.

The ideal candidate leads architecture through delivery rather than handing off a design. They define the target state, decompose it into work streams, make and document the trade-offs, and review what engagement teams build against it. They have been the lead architect on multiple enterprise platform implementations, lead discovery and executive advisory with client leadership, and bring a business-first lens to every design decision.

They incorporate AI tooling into how they design and deliver, advise clients on AI readiness and where AI fits in their data strategy, and architect platforms that support AI workloads while keeping foundational data quality, structure, and governance intact.

This role carries principal-level ownership and a very high bar for delivery. The Managing Consultant, Data Architect is accountable for the technical outcome across every engagement they govern: the architecture is sound, the standards are followed, what ships to the client meets the design, and client executive sponsors trust them to make and defend the hard technical calls. They set technical direction for engagement architects and lead engineers, run architecture reviews, author the practice's reference architectures, lead solutioning and pre-sales for new work, and grow the practice's architecture bench through mentorship.

They lead through technical authority rather than line management and thrive in a consulting environment where no two engagements are the same.

This role can be performed from anywhere in the US.

• Target-State Architecture:
  Own end-to-end target-state architecture for enterprise data and AI platforms across concurrent engagements, including platform topology, environment strategy, security and governance model, and cost and performance architecture at advanced-certification depth.
• Roadmaps and Executive Advisory:
  Lead architecture assessments and AI readiness and data maturity evaluations;…