Enterprise Data Architect

1 week ago

Bengaluru, Karnataka, India Emids Full time

We at EMIDS, are hiring for Enterprise Data Architect.

Please find the details below and share your interest at aarati.pardhi@emids.com

Location : Bangalore / Noida / Hyderabad (Hybrid)

Job Summary:

The Enterprise Data Architect will be responsible for designing and implementing scalable, secure, and efficient data architectures across the organization. The role focuses on AI-driven data strategies within the US healthcare sector. This position requires deep experience in cloud data platforms, big data technologies, data governance, and advanced analytics to drive digital transformation.

The Role:

  • The Data Architect proactively leads and supports software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects
  • This role will be responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams in alignment with architectural governance and standards
  • Partner with business leaders, data scientists, engineers, and security teams to align data strategies with organizational goals.
  • The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems
  • Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy
  • Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system
  • Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution
  • Ability to analyze and optimize cloud costs.

Key Responsibilities:


• Strategic Data Leadership: Define and drive the data architecture and AI strategy in alignment with organizational goals, focusing on data-driven decision-making and improving operational efficiency.


• Architecture Design: Lead the design and implementation of scalable and efficient data architectures that support advanced analytics, reporting, and machine learning applications.


• Integration Solutions: Oversee the development of data integration strategies, enabling seamless data flow across various healthcare systems, including RCMs, EHRs, Claims, Policy Admin and Billing systems, and analytics platforms.


• Data Governance & Compliance: Establish and maintain data governance frameworks, ensuring compliance with regulations such as HIPAA, FedRAMP and HITRUST, while promoting data integrity, security, and quality.


• Collaboration with Stakeholders: Partner with executive leadership, enterprise architects, data scientists, analysts, and IT teams to understand data needs, provide architectural guidance, and ensure successful project execution.


• Emerging Technology Assessment: Evaluate and recommend emerging technologies and tools that can enhance data architecture and analytics capabilities in healthcare.


• Performance Metrics: Establish key performance indicators (KPIs) and metrics to evaluate product success and drive continuous improvement based on user feedback and data analysis.


• Documentation and Standards: Develop comprehensive documentation of data architecture standards, best practices, and processes for internal teams.


• Mentorship and Team Development: Mentor and guide data architects and data engineers, fostering a culture of continuous learning and innovation within the data team.

Qualifications:

  • 17+ years of experience in Data Engineering space.
  • 8+ yrs of experience in data architecture, enterprise data management, and AI-driven solutions.
  • Must have 5+ year of experience in any cloud technology AWS/Azure/GCP.
  • Must have 5+ year of experience in Databricks, with ability to architect, implement and scale workloads.
  • Must have 5+ years of experience with any reporting tool, preferred Power BI.

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