Data Architect

Charter Automotive; Michigan; On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Comprehensive health benefits

401(k) with employer matching

Job summary

Charter Automotive is seeking an Enterprise Data Architect to define and drive the data strategy powering BI, analytics, automation and AI across the organization. You will architect data platforms, integrate ERP/cloud systems, and enable scalable, trusted data solutions for manufacturing, supply chain, finance and customer-facing processes.

The role partners with Digital, Operations, Supply Chain and Finance leaders to accelerate data-driven transformation and promote modern architecture

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
• 6+ years of experience in Data Architecture, Data Engineering, Data Integration, Analytics Architecture or enterprise-scale data platform design.
• Proven success designing enterprise data ecosystems that support both operational and analytical workloads.
• Strong understanding of modern data modeling techniques (normalized, dimensional, canonical, domain-driven).
• Experience establishing governance practices that improve data quality, lineage, security and trust.
• Hands-on knowledge of cloud data technologies, data warehouses, data lakes, APIs and integration frameworks.

Responsibilities

• Design and evolve enterprise data architecture to support analytics, automation and AI initiatives.
• Establish scalable patterns for data ingestion, integration, storage, transformation and consumption across hybrid cloud and on-prem environments.
• Define architectural standards for APIs, ETL/ELT, streaming, CDC, event-driven solutions and reusable data products.
• Champion data quality, lineage, metadata management, security and compliance; govern data assets.
• Enable advanced analytics, AI and self-service reporting; collaborate with analytics and business teams.
• Lead architecture reviews and planning sessions; mentor technical staff; communicate vision to stakeholders.

Skills

Excellent communication

Stakeholder influence

Mentorship & leadership

Hybrid cloud architecture

Education

Bachelor's degree in Computer Science or related

Tools

Azure Data Services

Snowflake

Databricks

PySpark

SQL

Python

Tableau

Power BI

Alteryx

Kafka

Job description

Data Architect Position Purpose / Mission

Help shape the future of data across a digitally evolving manufacturing enterprise. As our Enterprise Data Architect, you will define and drive the data strategy that powers business intelligence, operational excellence, advanced analytics, automation, and emerging AI capabilities. This highly visible role sits at the intersection of business and technology, partnering closely with leaders across Digital, Operations, Supply Chain, and Finance to create scalable, trusted, and accessible data solutions. You will architect modern data platforms and integration strategies that connect manufacturing systems, ERP platforms, cloud technologies, and analytical applications into a cohesive enterprise ecosystem. Through your leadership, the organization will gain the trusted data foundation needed to accelerate innovation, improve decision‑making, and unlock the value of AI and data‑driven transformation.

Why This Role Matters

Influence enterprise‑wide data strategy and architecture decisions. Drive modernization initiatives across cloud, analytics, and AI‑enabled platforms. Partner directly with business leaders to solve meaningful operational challenges. Design scalable solutions that impact manufacturing, supply chain, finance, and customer‑facing processes. Establish the foundation for advanced analytics, automation, machine learning, and AI adoption. Mentor and guide technical teams while promoting modern architecture best practices.

Key Responsibilities

• Enterprise Data Strategy & Architecture – Design and evolve enterprise data architecture that supports business growth, analytics, automation and AI initiatives.
• Establish scalable patterns for data ingestion, integration, storage, transformation and consumption across hybrid cloud and on‑premises environments.
• Define architectural standards for APIs, ETL/ELT, streaming, CDC, event‑driven solutions and reusable data products.
• Data Governance & Platform Excellence – Champion enterprise standards for data quality, lineage, metadata management, security and compliance; develop trusted, governed data assets; guide adoption of modern architecture principles.
• Analytics, AI & Innovation – Enable advanced manufacturing and operational analytics, including predictive maintenance, supply‑chain visibility, operational intelligence and AI‑ready data solutions; partner with analytics, engineering and business teams to accelerate self‑service reporting, data science and machine‑learning initiatives; help define future‑state architecture that supports emerging AI and automation capabilities.
• Leadership & Collaboration – Facilitate architecture reviews and strategic planning sessions that align business objectives with technology solutions; collaborate with cross‑functional teams to solve complex technical challenges and drive enterprise consistency; mentor technical professionals; communicate architectural vision to executives, business leaders, and technical stakeholders.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline; equivalent experience will also be considered.
• 6+ years of experience in Data Architecture, Data Engineering, Data Integration, Analytics Architecture or enterprise‑scale data platform design.
• Proven success designing enterprise data ecosystems that support both operational and analytical workloads.
• Strong understanding of modern data modeling techniques, including normalized, dimensional, canonical and domain‑driven approaches.
• Experience establishing governance practices that improve data quality, lineage, security and trust.
• Hands‑on knowledge of cloud data technologies, data warehouses, data lakes, APIs and integration frameworks.
• Demonstrated ability to translate complex business requirements into scalable technical solutions.
• Exceptional communication skills with the ability to influence stakeholders across both technical and non‑technical audiences.

Preferred Qualifications

• Experience within manufacturing, supply chain, industrial technology or ERP‑centric environments.
• Oracle EBS experience preferred.
• Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI, Alteryx, Kafka, CDC and event‑driven architectures.
• Exposure to AI/ML platforms, predictive analytics, Industrial IoT and enterprise data governance programs.
• Experience leading data modernization or digital transformation initiatives at scale.

Benefits

Comprehensive health, dental and vision benefits, a 401(k) plan with employer matching and profit sharing, company‑paid life insurance, disability coverage and paid time off (PTO).