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Data Architect

3 weeks ago

Gurgaon, Haryana, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: Senior Data Architect

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Job Summary:

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We are seeking an experienced Senior Data Architect to lead large-scale data engineering and analytics initiatives.

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The role involves developing logical and physical data models, working closely with business and engineering teams to define data requirements, and ensuring alignment with enterprise standards.

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Key Responsibilities:

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  • Develop conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies.">
  • Govern data design/modelling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.">
  • Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.">
  • Drive collaborative reviews of data model design, code, data, security features to drive data product development.">
  • Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model.">
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Requirements:

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  • Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / domains).">
  • Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake.">
  • Experience with version control systems like GitHub and deployment & CI tools.">
  • Experience of metadata management, data lineage, and data glossaries is a plus.">
  • Working knowledge of agile development, including DevOps and DataOps concepts.">
  • Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail.">
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Bonus Points:

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  • Knowledge of cloud-based platforms and their integration with on-premises solutions.">
  • Understanding of artificial intelligence and machine learning techniques.">
  • Ability to communicate complex technical concepts to non-technical stakeholders.">
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