Technical Lead
Capgemini
Technical Lead
Job Description
Technical Lead
📋 Job Overview
As a Technical Lead at Capgemini, you will lead the design, development, and maintenance of application-specific data models in a large-scale enterprise data cloud. You will collaborate with cross-functional teams to ensure data quality, security, and compliance, while guiding engineering teams and driving innovation aligned with enterprise data strategy. This role requires 9-15 years of experience in data projects with strong technical and leadership skills.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Corporate Common and Invest
🎯 Key Responsibilities
- Lead the design, development, and maintenance of application-specific data models in a large-scale enterprise data cloud
- Collaborate with cross-functional teams to ensure data quality, security, and compliance with governance standards
- Design consumption data models for diverse target systems and optimize data architecture
- Guide and mentor engineering teams, plan activities, and ensure timely project delivery
- Drive innovation and alignment with enterprise data strategy across global operations
✅ Required Qualifications
- 9–15 years of experience in enterprise data cloud/data hub projects
- 5+ years in technical leadership
- Expertise in SQL, Python, relational and NoSQL databases, and cloud platforms (GCP/AWS/Azure)
- Strong knowledge of data modeling, governance, security, and big data technologies (Hadoop, Spark, Kafka)
- Excellent leadership, communication, and problem-solving skills
- Experience managing large teams
⭐ Preferred Qualifications
- Google Cloud certifications
- Exposure to ETL tools
- Exposure to BigQuery
- Functional domains like HR, Finance, Sales
🛠️ Required Skills
- SQL
- Python
- Relational databases
- NoSQL databases
- Cloud platforms (GCP/AWS/Azure)
- Data modeling
- Data governance
- Data security
- Big data technologies (Hadoop, Spark, Kafka)
- Leadership
- Communication
- Problem-solving
- Team management
🎁 Benefits & Perks
- Empowered to shape your career
- Supported and inspired by a collaborative community of colleagues around the world
- Opportunity to reimagine what's possible and build a more sustainable, more inclusive world
- Work with AI-powered global business and technology transformation partner
- Deep industry expertise and strong partner ecosystem
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
- SQLintermediate
- Pythonintermediate
- Relational databasesintermediate
- NoSQL databasesintermediate
- Cloud platforms (GCP/AWS/Azure)intermediate
- Data modelingintermediate
- Data governanceintermediate
- Data securityintermediate
- Big data technologies (Hadoop, Spark, Kafka)intermediate
- Leadershipintermediate
- Communicationintermediate
- Problem-solvingintermediate
- Team managementintermediate
Required Qualifications
- 9–15 years of experience in enterprise data cloud/data hub projects (experience)
- 5+ years in technical leadership (experience)
- Expertise in SQL, Python, relational and NoSQL databases, and cloud platforms (GCP/AWS/Azure) (experience)
- Strong knowledge of data modeling, governance, security, and big data technologies (Hadoop, Spark, Kafka) (experience)
- Excellent leadership, communication, and problem-solving skills (experience)
- Experience managing large teams (experience)
Preferred Qualifications
- Google Cloud certifications (experience)
- Exposure to ETL tools (experience)
- Exposure to BigQuery (experience)
- Functional domains like HR, Finance, Sales (experience)
Responsibilities
- Lead the design, development, and maintenance of application-specific data models in a large-scale enterprise data cloud
- Collaborate with cross-functional teams to ensure data quality, security, and compliance with governance standards
- Design consumption data models for diverse target systems and optimize data architecture
- Guide and mentor engineering teams, plan activities, and ensure timely project delivery
- Drive innovation and alignment with enterprise data strategy across global operations
Benefits
- general: Empowered to shape your career
- general: Supported and inspired by a collaborative community of colleagues around the world
- general: Opportunity to reimagine what's possible and build a more sustainable, more inclusive world
- general: Work with AI-powered global business and technology transformation partner
- general: Deep industry expertise and strong partner ecosystem
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Answer 10 quick questions to check your fit for Technical Lead @ Capgemini.
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~2 Minutes
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Technical Lead
Capgemini
Technical Lead
Job Description
Technical Lead
📋 Job Overview
As a Technical Lead at Capgemini, you will lead the design, development, and maintenance of application-specific data models in a large-scale enterprise data cloud. You will collaborate with cross-functional teams to ensure data quality, security, and compliance, while guiding engineering teams and driving innovation aligned with enterprise data strategy. This role requires 9-15 years of experience in data projects with strong technical and leadership skills.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Corporate Common and Invest
🎯 Key Responsibilities
- Lead the design, development, and maintenance of application-specific data models in a large-scale enterprise data cloud
- Collaborate with cross-functional teams to ensure data quality, security, and compliance with governance standards
- Design consumption data models for diverse target systems and optimize data architecture
- Guide and mentor engineering teams, plan activities, and ensure timely project delivery
- Drive innovation and alignment with enterprise data strategy across global operations
✅ Required Qualifications
- 9–15 years of experience in enterprise data cloud/data hub projects
- 5+ years in technical leadership
- Expertise in SQL, Python, relational and NoSQL databases, and cloud platforms (GCP/AWS/Azure)
- Strong knowledge of data modeling, governance, security, and big data technologies (Hadoop, Spark, Kafka)
- Excellent leadership, communication, and problem-solving skills
- Experience managing large teams
⭐ Preferred Qualifications
- Google Cloud certifications
- Exposure to ETL tools
- Exposure to BigQuery
- Functional domains like HR, Finance, Sales
🛠️ Required Skills
- SQL
- Python
- Relational databases
- NoSQL databases
- Cloud platforms (GCP/AWS/Azure)
- Data modeling
- Data governance
- Data security
- Big data technologies (Hadoop, Spark, Kafka)
- Leadership
- Communication
- Problem-solving
- Team management
🎁 Benefits & Perks
- Empowered to shape your career
- Supported and inspired by a collaborative community of colleagues around the world
- Opportunity to reimagine what's possible and build a more sustainable, more inclusive world
- Work with AI-powered global business and technology transformation partner
- Deep industry expertise and strong partner ecosystem
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
- SQLintermediate
- Pythonintermediate
- Relational databasesintermediate
- NoSQL databasesintermediate
- Cloud platforms (GCP/AWS/Azure)intermediate
- Data modelingintermediate
- Data governanceintermediate
- Data securityintermediate
- Big data technologies (Hadoop, Spark, Kafka)intermediate
- Leadershipintermediate
- Communicationintermediate
- Problem-solvingintermediate
- Team managementintermediate
Required Qualifications
- 9–15 years of experience in enterprise data cloud/data hub projects (experience)
- 5+ years in technical leadership (experience)
- Expertise in SQL, Python, relational and NoSQL databases, and cloud platforms (GCP/AWS/Azure) (experience)
- Strong knowledge of data modeling, governance, security, and big data technologies (Hadoop, Spark, Kafka) (experience)
- Excellent leadership, communication, and problem-solving skills (experience)
- Experience managing large teams (experience)
Preferred Qualifications
- Google Cloud certifications (experience)
- Exposure to ETL tools (experience)
- Exposure to BigQuery (experience)
- Functional domains like HR, Finance, Sales (experience)
Responsibilities
- Lead the design, development, and maintenance of application-specific data models in a large-scale enterprise data cloud
- Collaborate with cross-functional teams to ensure data quality, security, and compliance with governance standards
- Design consumption data models for diverse target systems and optimize data architecture
- Guide and mentor engineering teams, plan activities, and ensure timely project delivery
- Drive innovation and alignment with enterprise data strategy across global operations
Benefits
- general: Empowered to shape your career
- general: Supported and inspired by a collaborative community of colleagues around the world
- general: Opportunity to reimagine what's possible and build a more sustainable, more inclusive world
- general: Work with AI-powered global business and technology transformation partner
- general: Deep industry expertise and strong partner ecosystem
Tags & Categories
Answer 10 quick questions to check your fit for Technical Lead @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs