Enterprise Data Architect

1 week ago

Pune, Maharashtra, India beBeeDataModeler Full time ₹ 15,00,000 - ₹ 28,00,000
Job Description:

As a seasoned data modeling professional, you will be responsible for assessing an organization's potential data sources and developing a blueprint to integrate, centralize, protect, and maintain data. Your goal will be to enable data models that allow for seamless slicing and drilling of information by region, business unit, or line of business.

To achieve this, you will work closely with leadership and stakeholders to define the overall vision, mission, and strategy for business data models that scale up for the enterprise. You will also mentor and guide technical project teams based globally on ERWIN and Azure platform components.

In addition, you will take on a technical leadership role to lead and manage analytics projects, ensuring all deliverables meet JCI standards. This requires you to be independently performing your job duties without much supervision and coaching.

Key Responsibilities:
  • Collaborate with various stakeholders to architect, implement, and test Big Data-based analytical solutions from disparate sources.
  • Demonstrate an understanding of concepts, best practices, and functions to implement a Big Data solution in an enterprise environment.
  • Establish, maintain, and adhere to Enterprise Data Standards & Policies.
  • Create and document Logical & Physical Data Models using best practices to ensure high data quality and reduced redundancy.
  • Recommend solutions to improve existing functional data models.
  • Understand and translate business needs into scalable data models supporting enterprise views.
  • Optimize and update logical and physical data models to support new and existing projects.
  • Maintain conceptual, logical, and physical data models along with corresponding metadata.
  • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
  • Ensure reusability of data models for future business requirements.
  • Perform reverse engineering of physical data models from databases and SQL scripts.


Requirements:

- Bachelor of Science degree and/or Master's in software engineering/computer science or an equivalent discipline
- 5+ years of hands-on experience using various development methodologies to deliver robust PaaS and DaaS-based analytics solutions on Azure data platform
- Proven expertise of ERWIN, Azure data platform, CI/CD
- Strong knowledge of Snowflake, Hadoop, MPP Data Platform, Azure Data Factory, Azure HDI, and Open-source technologies
- Superior documentation and communications skills
- Proven ability to lead & coach diverse teams of data modelers located globally
- ERWIN/Other Data Modeling Tools develop, enrich, and maintain logical & physical data models
- Cloud Database experience in Snowflake and/or HIVE
- DevOps GitHub, Azure DevOps
- ETL/ELT Framework design and implementation

Essential Skills:
  • Strong Leadership, organizational, and prioritization skills
  • Excellent written and verbal skills to communicate technical solutions to business teams
  • Demonstrated experience leading and influencing individuals and teams without formal organizational control
  • Understanding trends, new concepts, industry standards, and new technologies in Data and Analytics space
  • Ability to work with global distributed teams


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