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Job Description

  • Influence business stakeholders to ensure strong engagement and alignment with the long-term Data Analytics strategy.
  • Contribute to the lake house architecture by optimizing data storage and implementing access controls and security.
  • Translate business requirements into data architecture and metadata standards, including test data and data quality metrics.
  • Collaborate with application owners to confirm relevant data sources for extraction and use.
  • Define and implement database structures (schemas, tables, naming conventions).
  • Design data models for various data products including source, master, and insight data.
  • Document and review data architecture artifacts, providing deployment validation and governance oversight.
  • Support Data Engineering and BI Engineering teams during development and deployment phases.
  • Continuously enhance data model quality in collaboration with data stewards and governance teams.
  • Simplify existing data architecture to enable reusability and cost-effective solutions.
  • Lead and participate in peer reviews and ensure compliance with architecture best practices.
  • Collaborate across functions (e.g., product owners, data scientists, business stewards) to create robust data solutions.
  • Evaluate and recommend emerging data technologies for storage, analytics, and architecture improvements.
  • Role Requirements and Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • 5+ years of experience in enterprise data modeling and architecture.
  • Experience with cloud services (AWS, Azure, GCP), real-time data streaming (Kafka), and tools like Snowflake.
  • Strong expertise in SQL, NoSQL, HANA, and modern data modeling tools (ERWIN, ER/Studio).
  • Ability to design scalable and reusable enterprise data models (conceptual, logical, physical).
  • Experience in data governance, metadata systems, and data quality frameworks.
  • Familiarity with SAP ecosystem (ECC/S4, BW, HANA, BI, ARIBA) is a plus.
  • Proficiency in Agile tools (Jira, Confluence) and business intelligence tools (Power BI, Tableau).
  • Working knowledge of Python libraries (dbt, pandas, great expectations) and ELT frameworks is a plus.
  • Excellent analytical, communication, and stakeholder management skills.

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Indian

About Company

AceNet is a business and technology consulting firm specializing in business transformation, technology consulting, product development, start-up advisory and fund-raising services. With a combination of highly skilled in-house consultants and a strong global network of CXOs, senior executives, domain experts, technologists, entrepreneurs and mentors on AceNet platform, we are committed to deliver exceptional value to our clients.

Job ID: 120568755

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