Data Architect with MS Fabric and AWS exp in Healthcare domain

Position- Data Architect with MS Fabric and AWS exp in Healthcare domain

Location- Indianapolis, IN

Type- Hybrid- (Onsite 2-3 days/week)

Visa- No H1

Overview:

We are seeking an experienced Data Architect to join our team on a contract-to-hire basis. This newly created role will support all Digital Core with a focus on AI for Operations, emphasizing use cases and anomaly detection. The ideal candidate will have strong data product architecture experience and strategy, not just ETL and data modeling tools. Our environment is heavy on AWS but includes some Azure and on-premises infrastructure. Experience with MS Fabric, ServiceNow, Splunk, and other infrastructure tools is needed.

A data architect is responsible for defining, designing, building, and maintaining the data architecture vision, strategy, and principles across the enterprise or a business function. They define standards for naming, describing, governing, managing, modeling, transforming, and searching all data within the enterprise or a business function. Data architects possess a deep working knowledge of how data is or will be used and implications on people, processes, capabilities, and technologies including analytics and data integrations. This role requires skills such as data modeling, data warehousing, data integration, data governance, and an understanding of data security, data standards, and cloud architecture principles. Data architects work closely with data producers, information management, data engineers, and data consumers.

Work with business to identify future uses for company data and anticipated business results, enabling processes to support these needs.

Data Planning/Modeling and Data Lifecycle Design: Develop a technical strategy for future data structure and data integration.

Enterprise Data Domains Expertise: Develop and provide expertise in data relationships, data quality, understanding of business data needs, and associated technology toolsets and methodologies.

Business Execution Enablement: Understand how enterprise data strategies, platforms, and technologies enable business execution. Use this knowledge to challenge the status quo and drive business and collaborations.

Multi-Domain Data Analysis: Analyze data from multiple domains, discover trends and associations, and synthesize new integration constructs to assist non-expert users in finding similar trends and associations.

Data Exchange Facilitation: Facilitate efficient and scalable data exchange between the company and its external partners using industry standards and data integration methodologies.

Cutting Edge Information Technologies: Use cutting edge information technologies to organize and analyze data.

Extend Public Data Sets: Extend publicly available data sets, ontologies, and taxonomies for internal use.

Technology Environment Scanning: Continuously scan the technology environment for new trends and techniques; interface with external consultants and thought leaders as needed.

Scalable Data Integration Approaches: Synthesize new scalable approaches for company data integration; derive supporting arguments, communicate, and articulate reasons for new approaches to fellow engineers and senior management.

What You Should Bring:

Foundational Knowledge: Demonstrated communication, leadership, teamwork, project delivery, and problem-solving skills.

Experienced in architectural processes (e.g., blueprinting, reference architecture, governance).

Understanding of external data standards (e.g., HL7, CDISC, SDTM) and external data vocabularies (e.g., MedDRA, RxNorm, SNOMED).

Health care industry knowledge and business acumen.

Autonomous IT Leadership: Experience leading large-scale portfolios and sophisticated high-demand customers.

Ability to influence IT and business strategies to drive large-scale outcomes.

Learning Agility and Relationship Building: Strong learning agility and relationship-building skills to influence change using knowledge and relationships.

High-Quality IT Service Delivery: Successful record of high-quality, user-focused, on-time & budget IT service and project delivery.

Project Management and Agile Frameworks: Experience with formal project management methodologies, agile frameworks (including Scrum, Kanban, SAFe), and working knowledge of associated practices and tools. Analytical and Problem-Solving Skills: Excellent analytical, problem-solving, and communication skills, working across agile and diverse teams. High level of intellectual curiosity, external perspective, and innovation interest.

Basic Qualifications:

Bachelor s degree in computer science or related scientific discipline.

10+ years of experience designing large-scale data models for functional, operational, and analytical environments (Conceptual, Logical, Physical & Dimensional).

7+ years of experience in several of the following disciplines: statistical methods, data modeling, ontology development, semantic graph construction and linked data, relational schema design.

Demonstrated SQL and data modeling proficiency.

Experience with data modeling tools such as ER*Studio, Erwin, or TOAD.

Experience in AWS.

Experience with security models and development on large data sets.

Experience with multiple database technologies.

Experience with multiple database solutions (e.g., Postgres, Redshift, Aurora, Athena) and formal database designs (3NF, Dimensional Models).

Experience with Agile Development, CI/CD, Jenkins, Github, Automation platforms.

Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics.

Ability to communicate with a geographically dispersed group of business and technical colleagues.

Ability to review and provide practical recommendations on design patterns, performance considerations & optimization, database versions, and database deployment strategies.

Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence.

Experience in moving on-premises solutions into cloud and knowledge in multiple data ingestion patterns.

Additional Preferences:

CDMP Certification.

AWS Solution Architect.

Previous health care experience.

Thanks & Regards

Shivam Rajpal

Sr. Technical Recruiter

Desk- X 142

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Voto Consulting LLC- M/WBE Certified Company