Senior Data Architect
Capgemini
Senior Data Architect
Job Description
Senior Data Architect
📋 Job Overview
The Senior Data Architect role at Capgemini involves developing and maintaining the organization's data architecture strategy, designing high-performance solutions across various data platforms, and leading data warehouse and BI initiatives. The position emphasizes ensuring data governance, security, and quality while collaborating with cross-functional teams to align data solutions with business goals. This role offers opportunities to work with cutting-edge cloud technologies and provide technical leadership to junior professionals.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Corporate Common and Invest
🎯 Key Responsibilities
- Develop and maintain the organization’s data architecture strategy
- Design robust, high-performance solutions across Big Data, Relational, NoSQL, and OLAP platforms
- Lead the architecture and development of data warehouses and business intelligence platforms
- Define and implement data modeling standards and practices
- Ensure compliance with data security, privacy, and governance standards
- Champion data quality and consistency across systems
- Implement metadata management, data lineage, and master data management frameworks
- Collaborate with cross-functional teams to align data solutions with business objectives
- Provide technical thought leadership and mentorship to junior data professionals
- Coordinate with application development teams for data sourcing and integration
✅ Required Qualifications
- Proficiency in SQL Server / Synapse
- Proficiency in Analysis Services / Power BI
- Proficiency in ETL – Data Factory
- Proficiency in data modeling
- Proficiency in data warehousing
- Experience with cloud platforms (Azure, GCP)
⭐ Preferred Qualifications
- Scripting experience in Python
🛠️ Required Skills
- SQL Server
- Synapse
- Analysis Services
- Power BI
- ETL
- Data Factory
- Data modeling
- Data warehousing
- Cloud platforms (Azure, GCP)
- Big Data
- Relational databases
- NoSQL
- OLAP
- Data governance
- Data security
- Data privacy
- Metadata management
- Data lineage
- Master data management
- Python (scripting)
🎁 Benefits & Perks
- Working in cutting-edge cloud IT technology with high performance capability team
- Career Growth & Global Exposure
- Focus on Innovation
- Inclusive Culture & Strong Support System
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL Serverintermediate
- Synapseintermediate
- Analysis Servicesintermediate
- Power BIintermediate
- ETLintermediate
- Data Factoryintermediate
- Data modelingintermediate
- Data warehousingintermediate
- Cloud platforms (Azure, GCP)intermediate
- Big Dataintermediate
- Relational databasesintermediate
- NoSQLintermediate
- OLAPintermediate
- Data governanceintermediate
- Data securityintermediate
- Data privacyintermediate
- Metadata managementintermediate
- Data lineageintermediate
- Master data managementintermediate
- Python (scripting)intermediate
Required Qualifications
- Proficiency in SQL Server / Synapse (experience)
- Proficiency in Analysis Services / Power BI (experience)
- Proficiency in ETL – Data Factory (experience)
- Proficiency in data modeling (experience)
- Proficiency in data warehousing (experience)
- Experience with cloud platforms (Azure, GCP) (experience)
Preferred Qualifications
- Scripting experience in Python (experience)
Responsibilities
- Develop and maintain the organization’s data architecture strategy
- Design robust, high-performance solutions across Big Data, Relational, NoSQL, and OLAP platforms
- Lead the architecture and development of data warehouses and business intelligence platforms
- Define and implement data modeling standards and practices
- Ensure compliance with data security, privacy, and governance standards
- Champion data quality and consistency across systems
- Implement metadata management, data lineage, and master data management frameworks
- Collaborate with cross-functional teams to align data solutions with business objectives
- Provide technical thought leadership and mentorship to junior data professionals
- Coordinate with application development teams for data sourcing and integration
Benefits
- general: Working in cutting-edge cloud IT technology with high performance capability team
- general: Career Growth & Global Exposure
- general: Focus on Innovation
- general: Inclusive Culture & Strong Support System
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Architect @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Senior Data Architect
Capgemini
Senior Data Architect
Job Description
Senior Data Architect
📋 Job Overview
The Senior Data Architect role at Capgemini involves developing and maintaining the organization's data architecture strategy, designing high-performance solutions across various data platforms, and leading data warehouse and BI initiatives. The position emphasizes ensuring data governance, security, and quality while collaborating with cross-functional teams to align data solutions with business goals. This role offers opportunities to work with cutting-edge cloud technologies and provide technical leadership to junior professionals.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Corporate Common and Invest
🎯 Key Responsibilities
- Develop and maintain the organization’s data architecture strategy
- Design robust, high-performance solutions across Big Data, Relational, NoSQL, and OLAP platforms
- Lead the architecture and development of data warehouses and business intelligence platforms
- Define and implement data modeling standards and practices
- Ensure compliance with data security, privacy, and governance standards
- Champion data quality and consistency across systems
- Implement metadata management, data lineage, and master data management frameworks
- Collaborate with cross-functional teams to align data solutions with business objectives
- Provide technical thought leadership and mentorship to junior data professionals
- Coordinate with application development teams for data sourcing and integration
✅ Required Qualifications
- Proficiency in SQL Server / Synapse
- Proficiency in Analysis Services / Power BI
- Proficiency in ETL – Data Factory
- Proficiency in data modeling
- Proficiency in data warehousing
- Experience with cloud platforms (Azure, GCP)
⭐ Preferred Qualifications
- Scripting experience in Python
🛠️ Required Skills
- SQL Server
- Synapse
- Analysis Services
- Power BI
- ETL
- Data Factory
- Data modeling
- Data warehousing
- Cloud platforms (Azure, GCP)
- Big Data
- Relational databases
- NoSQL
- OLAP
- Data governance
- Data security
- Data privacy
- Metadata management
- Data lineage
- Master data management
- Python (scripting)
🎁 Benefits & Perks
- Working in cutting-edge cloud IT technology with high performance capability team
- Career Growth & Global Exposure
- Focus on Innovation
- Inclusive Culture & Strong Support System
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL Serverintermediate
- Synapseintermediate
- Analysis Servicesintermediate
- Power BIintermediate
- ETLintermediate
- Data Factoryintermediate
- Data modelingintermediate
- Data warehousingintermediate
- Cloud platforms (Azure, GCP)intermediate
- Big Dataintermediate
- Relational databasesintermediate
- NoSQLintermediate
- OLAPintermediate
- Data governanceintermediate
- Data securityintermediate
- Data privacyintermediate
- Metadata managementintermediate
- Data lineageintermediate
- Master data managementintermediate
- Python (scripting)intermediate
Required Qualifications
- Proficiency in SQL Server / Synapse (experience)
- Proficiency in Analysis Services / Power BI (experience)
- Proficiency in ETL – Data Factory (experience)
- Proficiency in data modeling (experience)
- Proficiency in data warehousing (experience)
- Experience with cloud platforms (Azure, GCP) (experience)
Preferred Qualifications
- Scripting experience in Python (experience)
Responsibilities
- Develop and maintain the organization’s data architecture strategy
- Design robust, high-performance solutions across Big Data, Relational, NoSQL, and OLAP platforms
- Lead the architecture and development of data warehouses and business intelligence platforms
- Define and implement data modeling standards and practices
- Ensure compliance with data security, privacy, and governance standards
- Champion data quality and consistency across systems
- Implement metadata management, data lineage, and master data management frameworks
- Collaborate with cross-functional teams to align data solutions with business objectives
- Provide technical thought leadership and mentorship to junior data professionals
- Coordinate with application development teams for data sourcing and integration
Benefits
- general: Working in cutting-edge cloud IT technology with high performance capability team
- general: Career Growth & Global Exposure
- general: Focus on Innovation
- general: Inclusive Culture & Strong Support System
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Architect @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs