Enterprise Data Architect - Technical role
- 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
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
- 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)
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.
Preferred Qualifications:
- Experience in the foodservice or retail industry, preferably with a focus on customer data and marketing analytics.
- Certification in Microsoft Azure.
