Data Analytics Architect Architect + Anchor - Ann Arbor, MI Onsite

Position: Data Analytics Architect [Architect + Anchor role] - Ann Arbor, MI [Onsite]
Data Analytics Architect [Architect + Anchor role] Ann Arbor, MI [Onsite] Long Term Core Responsibilities (Architect):
Design & Strategy:
Develop scalable data solutions (lakes, warehouses, cloud), define modeling/schema standards, plan data integration, and select storage solutions. Governance & Security:
Implement data governance, privacy, and security policies, ensuring compliance and auditing systems. Technical Leadership:
Provide technical direction, create technical designs, review code, and troubleshoot complex issues.

Collaboration:

Work with business analysts, engineers, and executives to translate needs into technical solutions.

Innovation: Stay updated with the latest industry trends and technologies to drive innovation within the organization. Documentation:
Create detailed documentation for solutions, including architecture recommendations, models and technical specifications. Core Responsibilities (Anchor):
Stakeholder Management:
Act as the liaison between technical teams and onsite clients, resolving ambiguities and building consensus. Team Guidance. Mentor technical teams, conduct training, and ensure adherence to standards and best practices Execution Oversight:
Ensure timely delivery, budget adherence, and quality control !or project milestones. Key

Competencies:

Collaborate with cross-functional teams (Business Leads, Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.

Design and build solutions on Azure, Databricks and sql server. Proficient in Spark technology, python and Sql to build solutions. Design conceptual, logical, physical layers of a data solution Conduct data design reviews, striving for improved usability and efficiency. Design blueprints for data extraction and basic transformations. Participate in presentations and proposals for highly complex projects. Technical Skills Applications Integration with third party vendor SaaS applications Cloud Computing and Cloud Computing Architecture Data Architecture Design and Platform Modernization Implement data integration best practices Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions Define and develop client specific best practices around data management within a cloud environment Recommend design alternatives for data ingestion, processing and provisioning layers Experience in Enterprise grade solution implementations

Experience with BI, and data analytics databases Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc. Experience in performance bench marking enterprise applications