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Data Architect

Job in Blue Ash, Hamilton County, Ohio, USA
Listing for: CoStrategix
Full Time position
Listed on 2025-12-05
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Job Description & How to Apply Below

Direct message the job poster from Co Strategix

Director, Human Resources & Talent @ CoStrategix | MA, Organizational Leadership

Summary

Since 2006, CoStrategix has defined and implemented digital transformation initiatives, data and analytics capabilities, and digital commerce solutions for Fortune 500 and mid-market customers.

CoStrategix provides thought leadership, strategy, and comprehensive end-to-end technology execution to help organizations transform and stay competitive in today’s digital world. As a Gixer (employee) at CoStrategix, you will have broad exposure to diverse industries and technologies.

You will work on leading-edge digital projects in areas of Data Engineering, Data Governance, Data Strategy, AI, Cloud, and data platforms. Gixers operate at the cutting edge of technologies, and our projects require compelling human interfaces and modern data platforms.

This role is based at our culture hub in Blue Ash, Ohio.

About this role

As a Data Architect at CoStrategix, you will define, orchestrate, and implement modern data platforms and architectures. This role is about understanding the current state of data ecosystems, mapping existing data flows and structures, creating an architectural blueprint, and then implementing data strategies and governance frameworks in rapid cycles.

Strategic & Consultative Responsibilities
  • Act as a trusted data advisor to client stakeholders, clearly communicating trade-offs, guiding decision-making, and influencing the adoption of modern data practices.
  • Lead stakeholder interviews and working sessions to elicit requirements, clarify use cases, and align on priorities, scope, and success metrics.
  • Create phased data roadmaps with clear milestones, dependencies, and value outcomes (e.g., time-to-insight, cost reduction, risk reduction) and track progress against them.
  • Provide architectural input into scoping and pricing of data engagements; ensure solutions balance value, risk, and cost, and support delivery teams in staying aligned to scope and architectural guardrails.
  • Work closely with sales and account teams to understand customer objectives and translate them into practical, scalable data architecture and solution designs.
  • Participate in pre‑sales engagements, discovery workshops, proposal development, client presentations, and proof‑of‑concept activities to showcase solution feasibility and value.
Data Governance, Quality & Operating Model
  • Bring consultative competencies around data governance and data quality, helping clients define guiding principles, policies, and operating models.
  • Lead development of comprehensive data strategies for clients that align with their business priorities.
  • Design processes for metadata management, lineage tracking, and master data management (MDM), including stewardship roles and workflows.
  • Establish and maintain data quality standards, metrics, and monitoring processes to ensure accurate, complete, and timely data across critical domains.
  • Develop semantic models and curated datasets, guide adoption of data cataloging and data literacy programs.
  • Design and maintain conceptual, logical, and physical data architectures to support enterprise, analytical, and operational systems.
  • Assess and recommend data platforms, cloud services, and emerging technologies to meet business needs, while collaborating with Cloud, Dev Ops, and Security Architects to ensure architectural alignment.
  • Partner with Data Analysts, BI Developers, and Data Scientists to ensure data architectures enable analytics, visualization, and AI/ML initiatives.
  • Define non‑functional requirements (performance, scalability, resilience, cost, security, and compliance) for data solutions, and ensure they are addressed in the architecture and design.
  • Maintain architecture decision records, reference architectures, and reusable patterns; define and promote standards and best practices for data modeling, integration, and consumption across teams.
Implementation, Delivery & Enablement
  • Lead the implementation of scalable, secure, and high‑performing data and transformation frameworks that unify data across platforms and enable real‑time, batch, and event‑driven use cases.
  • Define and…
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