Enterprise Data Architect

15 hours ago


Pune, Maharashtra, India ACA Group Full time
About the Role

We are seeking a highly skilled Enterprise Data Architect to join our team at ACA Group. As an Enterprise Data Architect, you will be responsible for overseeing the development and use of data systems, discovering efficient ways to organize, store, and analyze data with attention to security and confidentiality.

Key Responsibilities:
  • Develop and implement data management strategies that align with company goals.
  • Oversee the collection, storage, management, quality, and protection of data.
  • Ensure data accuracy and accessibility and reduce data redundancy.
  • Collaborate with IT teams and management to devise a data strategy that addresses industry requirements.
  • Lead and mentor a team of data professionals
  • Contribute to the design and development of the core Enterprise Data Services hub
  • Work directly with internal business stakeholders to drive out requirements and gain alignment on solution options.
Requirements:
  • Bachelor's degree in Computer Science, Data Science or related field and a minimum of seven (7) years of experience OR a minimum of ten (10) years of applicable industry experience (if no bachelor's degree)
  • Knowledge of data modeling practices with experience building enterprise data solutions
  • Experience designing and building reporting and dashboarding solutions
  • Working understanding of Microsoft Azure cloud environment and applicable data technologies – Azure Data Factory, Event Hubs, Synapse etc.
  • Willingness to learn and experiment with new technologies to provide best in class solutions
  • Good communication skills – ability to discuss technical topics with business stakeholders
  • Working experience to pull and push data from various APIs, including REST
  • Good understanding of using Postman
  • Working experience to read and write SQL, stored procedures and functions
  • Good understanding and demonstrated experience with Azure Data Factory pipelines
  • Good understanding and demonstrated experience with Azure data landscape.
  • Experience with DAX and M query formations.
Preferred Qualifications:
  • Experience working in Power BI
  • Experience building SSAS cubes, particularly tabular modeling
  • C#, Python or other object-oriented programming experience a plus – used currently to write Azure
  • Functions as needed
  • AI/ML knowledge in support of long-term strategy
Salary Range:

The estimated salary range for this role is $120,000 - $160,000 per year, based on location and experience.

We offer a competitive compensation package, comprehensive benefits, and opportunities for growth and development.



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