Data Management Architect

Data Management ArchitectLocation: Chicago, Detroit, Houston, Dallas, Austin, Charlotte, or Atlanta | Type: Full Time | Setup: Hybrid (2 to 3 days onsite) | Experience: 10+ years | Pay: Up to $185K base + 10-15% bonusAbout the RoleWe're hiring a Data Management Architect to own the data strategy and architecture behind enterprise transformation programs. You'll walk into client environments that are often messy, ambiguous, and half-modernized, figure out what's really there, and lay out a phased path to a governed, modern data platform that people trust.You'll join the Data and Analytics practice of a global AI-first technology consultancy that partners with well-known enterprises across industries. The role blends pursuit work and delivery: you'll shape proposals and lead discovery workshops, then stay on to anchor the solution once the work is sold. It's hybrid, with 2 to 3 days a week in a local office in one of seven metros, plus up to 25% travel to client sites as programs need it.If you're the architect people pull into the room when the data questions get hard, and you'd rather design the answer than just document it, this is your kind of role.What You'll DoLead pursuit teams as the data subject matter expert, from RFP responses to proactive proposalsPlan and run workshops with client teams to map the current landscape, requirements, and constraints, then design a future-state architectureBuild phased implementation roadmaps that account for scope, sequencing, and the people available to do the workArchitect data quality, catalog, lineage, master data management, and governance solutions, sometimes from scratch and sometimes by modernizing what's already in placeExplain complex architectures to technical teams and executives alike, and build consensus when stakeholders don't agreeAnchor proofs of concept and help size and scope new engagementsLead delivery teams spread across time zones and take real ownership of the outcomeRepresent the practice at industry events and in thought leadershipQualificationsCore Experience10+ years of relevant professional experience in data architecture or data management consultingStrong hands-on background across data quality, data catalog, data lineage, and master data managementWorking knowledge of data governance concepts: policies, procedures, operating models, runbooksDeep data modeling experience across multiple industriesA track record of both greenfield builds and legacy modernizationCloud and PlatformExpertise in at least two hyperscalers (AWS, Azure, GCP)Familiarity with cloud data warehouse and lakehouse platforms such as Snowflake and DatabricksExperience with on-premises and cloud environments, and architecting for performance, scalability, and securityConsulting and CommunicationComfortable presenting to audiences from department directors up to the C-suiteClear, crisp writing and strong presentation skillsPractical fluency with AI tools in your own workflow, and a grounded view of what AI can and can't do, including the ethical sideLocated within commuting distance of Chicago, Detroit, Houston, Dallas, Austin, Charlotte, or Atlanta, and able to travel up to 25%, sometimes on short noticeWhy Join UsYou'll be part of a data practice that works across the full lifecycle, from ingestion and governance to analytics and applied AI, for clients whose names you'd recognize. The work spans industries and platforms, so you won't spend years solving the same problem twice, and you'll have a direct hand in shaping how engagements are scoped and won.If you want senior-level ownership, variety in the work, and a team that treats data architecture as the foundation everything else depends on, this one is worth a conversation.To apply, click Apply on LinkedIn and visit eliosai.com/browse-jobs