Enterprise Data Architect

Enterprise Data Architect

• Direct Hire with Full Benefits and Bonus
• Hybrid in Ann Arbor, MI ( well renowned Multi-billion dollar E-commerce / retail client )
• Client is open to hire valid Visa holders as well.
• Relocation Expenses PAID

Job Details

This senior technical data architect role will provide thought leadership for how we use data across the company. As a key contributor to the 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.

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.
• Experience designing and implementing with Data Bricks
• 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.