Enterprise Data Architect — AI‑Ready Platforms (Hybrid)

Ceso; Columbus (OH); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible and Hybrid Work Schedule

401K with Company Match

Paid Time Off

Medical / Dental / Vision Coverage

Training and Development

Paid Holidays

Welcome Box

Casual Dress Code

Reimbursement for Professional Liceses

Paid Time Off for Community Service

Job summary

CESO, Inc. seeks a Data Architect to design, implement, and govern enterprise data platforms that support reporting, analytics, and AI initiatives.

The role focuses on scalable, secure data solutions and alignment with business goals. You will translate business needs into technical designs, establish architecture standards, and collaborate with Data Engineers to optimize lakehouse and data pipelines using Microsoft Fabric and Azure technologies.

Qualifications

• Bachelor's degree in CS, IS, Data Management, Engineering, or related field.
• Master’s degree preferred.
• 5+ years in data architecture, data engineering, database administration, analytics engineering, enterprise data architecture or related roles.
• Experience documenting and communicating technical architecture decisions and recommendations.
• Experience supporting cloud modernization, digital transformation, or enterprise data platform initiatives preferred.
• Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, or related certifications preferred.
• Certifications such as Certified Data Management Professional, Microsoft data certifications, or similar preferred.
• Experience working with Microsoft Fabric, SQL Server, Azure SQL, data warehouses, data lakes, Data Factory or lakehouse architectures required.
• Proficiency in SQL and working with relational and analytical data structures.
• Strong understanding of data architecture principles, data modeling, database design, and integration patterns.
• Knowledge of DAMA-DMBOK principles, data governance frameworks, and enterprise data management best practices.
• Understanding of security, access controls, privacy requirements, and compliance considerations related to enterprise data.
• Experience designing data models for operational reporting, BI, and KPI frameworks preferred.
• Experience supporting AI, machine learning, Copilot, or advanced analytics initiatives preferred.

Responsibilities

• Develop, implement, and maintain enterprise data architecture standards, frameworks, design patterns, and best practices to ensure consistency, scalability, security, and maintainability across the company's data platforms and solutions.
• Develop and maintain logical, physical, dimensional, and semantic data models. Design enterprise database architectures, backend data structures, and scalable schema designs for business applications, integrations, analytics, and AI initiatives.
• Design and oversee enterprise data integration solutions, including APIs, ELT/ETL processes, cloud platforms, and reporting environments, ensuring scalable, secure, and reliable data movement.
• Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies.
• Work with business stakeholders to understand data requirements and translate them into technical designs.
• Assist in establishing and maintaining enterprise data governance and compliance practices, including data quality, data ownership, stewardship, classification, and retention standards.
• Provide architectural guidance for databases optimization, indexing strategies, partitioning, and performance tuning to support enterprise-scale workloads
• Review data solutions for alignment with architecture standards, security requirements, and business objectives while maintaining documentation, data catalogs and lineage information.
• Design enterprise data platform architectures that support disaster recovery, backup, business continuity, and high availability requirements.
• Support the development of AI-ready data platforms that enable advanced analytics, machine learning, automation, and future AI initiatives.
• Provide analytical and problem-solving expertise to evaluate data-related opportunities, and decisions and communication them to relevant parties within the organization.
• Collaborate effectively with technical and non-technical stakeholders to gather requirements, align priorities, and deliver enterprise data solutions.
• Perform other duties as assigned.

Skills

SQL proficiency

Data architecture

Cloud platforms

Data modeling

ETL/ELT design

Governance & compliance

Stakeholder collaboration

Security & privacy

Analytical problem-solving

AI readiness

Education

Bachelor's degree in CS/IS/DM/Engineering

Master’s degree preferred

Tools

Microsoft Fabric

Azure Data Services

SQL Server / Azure SQL

Data Factory

Lakehouse architectures

Job description

CESO, Inc. seeks a Data Architect to design, implement, and govern enterprise data platforms that support reporting, analytics, and AI initiatives.

The role focuses on scalable, secure data solutions and alignment with business goals. You will translate business needs into technical designs, establish architecture standards, and collaborate with Data Engineers to optimize lakehouse and data pipelines using Microsoft Fabric and Azure technologies.