Enterprise Data Architect

1 week ago

detroit, United States IT Associates Full time

Enterprise Data Architect - Technical role


  • Direct Hire with all Benefits
  • Client is located in Ann Arbor, MI ( well renowned Multi-billion dollar E-commerce / retail client )
  • All Visa holders welcome
  • Start Jan'2025


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 Databricks
  • Deep technical knowledge of 1 public cloud services ( Azure Preferred)
  • Experience with Data warehouse architecture and ETL integration (SQL Server, Oracle, Teradata and Talend)
  • 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.

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