Position: Enterprise Data Architect

Location: Ann Arbor, MI

Duration: Full Time

Job Type: Full Time

Work Type: Hybrid (at Client Headquarters, Ann Arbor) J

ob Description:

• This senior technical data architect role will provide thought leadership for how we use data across the company.
• As a key contributor to the clients Data Transformation initiative, the Data architect would work with Business / Technology teams to identify and chart the technology and strategy roadmap to unlock value from enterprise data assets.
• The ideal candidate will have hands-on experience in large scale modern data warehouse development and had success leading cross-team technical discussions that drive key decisions, operational efficiency and build competitive advantage.
• The architect would partner with Digital/AI/ML Architects and teams to define data activation frameworks.

GENERAL RESPONSIBILITIES

• Develop and execute the enterprise data strategy, in alignment with business objectives and requirements, to ensure effective data management and governance across the organization.
• Architect and design data solutions that integrate customer data, marketing data, and streaming data, enabling advanced analytics, real-time insights, and personalized customer experiences.
• Design and implement a scalable data lakehouse using Databricks, enabling efficient data storage, processing, and analytics across structured, semi-structured, and unstructured data sources.
• Collaborate with cross-functional teams, including business stakeholders, data scientists, data engineers, and IT teams, to define data requirements, identify opportunities, and deliver high-quality data solutions.
• Participate in the definition of future data management architecture, with alignment to value creation opportunities across the business.
• Performing proof of concepts, object-oriented analysis/design, assessing new technologies, identifying data lineage, and performing complex data analysis and analytics
• Communicate the companywide Architecture strategy and direction to both management and development teams
• Stay current with new and emerging technologies and make recommendations on their adoption.
• Understand compliance and risk management requirements for supported areas
• Partner with architects across Data Science and Digital organizations to create data activation frameworks supporting realtime (or near realtime) needs.

Qualifications Position Requirements:

• Experience with multiple full life-cycle data warehouse / transformation implementations in public cloud
• Proven experience working as an Enterprise Data Architect or a similar role, preferably in large-scale organizations.
• Deep technical knowledge of 1 public cloud services
• Experience with Data warehouse architecture and ETL integration (Teradata, Oracle, SQL Server, Ab Initio, and SSIS)
• Deep understanding of data architectures that utilize Data Lakehouse / Data Mesh
• Business & financial acumen to advise on product planning, conducts research & analysis and identifying business value of new and emerging technologies.
• Strong SQL and database skills working with large structured and unstructured data
• Strong familiarity with enterprise reporting solutions (PowerBI, Qlik, Tableau), data virtualization and semantic modeling
• Expertise with solution development using No-SQL data platforms
• System development lifecycle (SDLC), Agile Development, DevSecOps, and common software development tools such as Git and Jira
• Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences.
• Infrastructure as Code (IaC) technologies such as Azure Resource Manager (ARM) or Terraform
• Familiarity with Docker, and docker orchestration like Docker Compose or Kubernetes
• Familiarity with AI/MLOps concepts and Marketing technology (Good to have)

Preferred Qualifications:

• Experience in the foodservice or retail industry, preferably with a focus on customer
• data and marketing analytics.
• Certification in Microsoft Azure.

Job Types: Full-time, Contract

Pay: $150,000.00 - $160,000.00 per year

Benefits:

• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Schedule:

• 8 hour shift

Education:

• Bachelor's (Preferred)

Experience:

• Enterprise Data Architect: 10 years (Preferred)
• foodservice or retail industry: 10 years (Preferred)
• clients Data Transformation initiative: 10 years (Preferred)
• partner with Digital/AI/ML Architects: 10 years (Preferred)
• ull life-cycle data warehouse: 10 years (Preferred)
• transformation implementations in public cloud: 10 years (Preferred)
• 1 public cloud services: 10 years (Preferred)
• Data warehouse architecture and ETL integration: 10 years (Preferred)
• Teradata, Oracle, SQL Server, Ab Initio: 10 years (Preferred)

Work Location: In person