Enterprise Data Solution Architect

About the role

As an Enterprise Data Solution Architect, you will lead the technical foundation of a large-scale integration program. This role is responsible for defining the target data and analytics architecture, driving integration strategy, and ensuring alignment between business needs, enterprise standards, and vendor delivery. You will act as the design authority, ensuring all Data & Analytics solutions are scalable, secure, and aligned to long-term enterprise platforms (e.g., Fabric, Snowflake, SAP, Qlik/Power BI).

Responsibilities

• Define end-to-end D&A architecture design across to‑be environments
• Lead current‑state assessment and target‑state design for data platforms, pipelines, and reporting
• Establish data integration patterns (API, ETL/ELT, CDC, batch vs real‑time)
• Approve source‑to‑target data mappings, semantic models, and reporting layers
• Define data modelling, governance, and security architecture (RLS, IAM)
• Provide technical direction to external/vendor teams
• Lead architecture governance forums and design reviews
• Oversee cutover architecture, performance, and scalability validation
• Closely work with business, cross‑functional teams for integrated data and reporting delivery

Requirements

• 10+ years of experience in enterprise data & analytics solutions involving multi‑source system environments such as ERP’s, CRM’s, OT platforms, and custom applications
• Strong hands‑on experience with cloud platforms such as Azure Databricks, Microsoft Fabric, Power BI and/or Qlik
• Experience with SAP ECC/S4 data models (CDS, ODP, extractors)
• Background in hands‑on experience with distributed computing skills like PySpark, PySQL
• Deep understanding of data integration patterns (batch, API, streaming, CDC)
• Strong exposure to data governance, metadata, lineage, etc.
• Exposure to security and access controls in reporting and data platforms
• Proven ability to work with business and technical stakeholders
• Experience in leading vendor/SI engagements and making architecture trade‑off decisions

Qualifications

• Experience in data platform migration or integration programs
• Exposure to data mesh / domain‑driven architecture
• Worked in hybrid environments (on‑prem + cloud migration)
• Exposure to GenAI integration in analytics platforms
• Ability to work from an office in Novi, MI, 3+ days per week (hybrid)

Benefits

• Access to employee discounts on world‑class products (JBL, HARMAN Kardon, AKG, and more)
• Extensive training opportunities through HARMAN University
• Competitive wellness benefits
• Tuition reimbursement
• “Be Brilliant” employee recognition and rewards program
• An inclusive and diverse work environment that fosters professional and personal development
• Paid vacation and holidays, paid sick leave, volunteer leave, paid bonding and caregiver leave
• Comprehensive medical, dental, and vision plans
• Fertility support and adoption assistance
• Health Savings and Flexible Spending Accounts
• Retirement savings plan with employer match
• Short‑ and long‑term disability coverage
• Life insurance