Data Analytics Architect - Ann Arbor, MI [Onsite]
Isospin Technologies, LLC
Ann Arbor, MI
JOB DETAILS
JOB TYPE
Temporary, Contractor, Full-time
SKILLS
Application Integration, Best Practices, Blueprints, Budgeting, Business Analysis, Business Intelligence, Business Processes, Cloud Computing, Code Reviews, Cross-Functional, Customer Relations, Data Analysis, Data Management, Data Science, Develop and Maintain Customers, Documentation, Enterprise Applications, Identify Issues, Industry/Trade Analysis, Information Technology/Systems Audit, Maintain Compliance, Mentoring, Microsoft SQL Server, Microsoft Windows Azure, Privacy Controls, Python Programming/Scripting Language, Quality Control, Requirements Management, SQL (Structured Query Language), Scalable System Development, Software as a Service (SaaS), Technical Delivery, Technical Leadership, Technical/Engineering Design, Time Management, Training/Teaching, Usability Engineering, Use Cases
LOCATION
Ann Arbor, MI
POSTED
9 days ago
Job Description
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
About the Company
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