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Application Architect - Data Governance

Application Architect - Data Governance

Miracle Software Systems (I) Pvt LtdVishakhapatnam
1 day ago
Job description

Description :

Title : Application Architect - Data Governance

Location : Pune, India.

Skills : PYTHON, Pyspark, SQL, Databricks, PowerBI

Description :

Experience : 8+ Years

Job Overview :

  • Minimum of 4 years of work experience in a technology role.
  • 2-5 years of experience as a Product Owner, Integration Analyst, Business Analyst, Product Manager, or Product Analyst.
  • Minimum of 4 years of experience with Data Governance (MDM tools, data cataloging and lineage tools, data quality monitoring, and Data Governance implementations at organizations of any size).
  • Minimum 3 years experience in Python, PySpark, SQL development.
  • 2 years of experience in building data quality monitoring tables in Databricks and presenting results in PowerBI dashboards
  • Has worked with Agile development teams for at least 3 years.

Preferred Experience :

  • Data visualization in any BI tool or code library.
  • Experience defining, creating, delivering, and maintaining data and analytics solutions in the cloud.
  • Advanced knowledge in Databricks Unity Catalog management and Data Governance
  • Working knowledge of modern enterprise systems such as Enterprise Resource Planning (SAP), Marketing and Sales Clouds (Salesforce), MDM systems, metadata management platforms, and enterprise analytics / reporting environments (SSRS, Azure Synapse).
  • Advanced Data Analysis in Databricks, Excel, SQL, Python, R, or any combination of these.
  • Understanding of modern data ecosystems, data management, data governance, and data products (cloud data warehousing, analytics in the cloud, AI / ML solutions).
  • Owning a data domain portfolio including but not limited to : building and maintaining data management strategy / implementation, managing relationships and expectations with data domain stakeholders and owners, managing assigned resources using an agile methodology, and delivering value driven results that executive leadership can understand.

    • Technical Experience :

  • 3 years of experience in owning and managing a technical platform including but not limited to : environment management, user access management, uptime management, platform enhancements, platform updates, SaaS platform performance, etc.
  • 1 to 2 years of experience in managing a small team of contractors building and maintaining system to system integrations, metadata / data extractions, and data quality rules.
  • Advanced knowledge in writing SQL and Python with a demonstrated ability to coach others.
  • 2 years of experience managing large data quality rule environments using Databricks Unity Catalog.
  • Strong understanding of Databricks LakeFlow integration preferred.
  • 2 years of experience building reference architecture diagrams and managing implementation.
  • 4 years of experience managing Master Data Management platforms including match / merge crosswalk logic, large scale data models with multiple sources of truth, and managing downstream consumption.
  • Understanding of technical privacy policy enforcement through automation preferred.

    • (ref : hirist.tech)

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