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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.



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