Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 6 and day 54.
From 11,501 similar postings that came down. Coming down is not always a hire.
Data Engineer & Data Architecture Lead
Bangalore, IN
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign enterprise data engineering and architecture solutions across cloud and hybrid environments
Build ETL/ELT data integration pipelines using Fabric, ADF, Databricks, Synapse, SQL, Python and Spark
Define data governance, data quality, security and metadata standards across data platforms
Integrate data from Oracle, SAP, Salesforce and PostgreSQL into Azure data architecture
Lead architecture decisions, design reviews and performance optimization for data engineering work
From the employer’s posting
Design and implement enterprise-scale Data Engineering and Data Architecture solutions across cloud and hybrid environments.
Build robust data integration and ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory (ADF), Databricks, Synapse, SQL, Python, and Spark.
Define and implement Data Governance, data quality, security, metadata management, and architectural standards across data platforms.
integrating data from platforms such as Oracle, SAP, Salesforce, and PostgreSQL.
Provide technical leadership for data engineering initiatives, including architecture decisions, design reviews, performance optimization
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20262 days ago
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Capgemini Service SAS is hiring
293 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- PostgreSQL
- Power BI
- Spark
Where the posting names them
- Design and implement enterprise-scale Data Engineering and Data Architecture solutions across cloud and hybrid environments. - Build robust data integration and ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory (ADF), Databricks, Synapse, SQL, Python, and Spark. - Define and implement Data Governance, data quality, security, metadata management, and architectural standards across data platforms.
- Strong experience in Data Engineering, Data Architecture, Data Integration, and Data Governance with the ability to design end-to-end enterprise data solutions. - Hands-on expertise in Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse Analytics, SQL, Python, and Spark. - Strong understanding of data lakes, lakehouse architecture, data warehouses, ETL/ELT frameworks, and cloud-based data platforms.
- Strong understanding of data lakes, lakehouse architecture, data warehouses, ETL/ELT frameworks, and cloud-based data platforms. - Exposure to AWS Data Engineering, GCP Data Engineering, Airflow, Oracle, SAP, Salesforce, and PostgreSQL is highly desirable. - Experience with reporting and analytics platforms such as Power BI and Microsoft BI, along with strong technical leadership and stakeholder-management capabilities.
- Define and implement Data Governance, data quality, security, metadata management, and architectural standards across data platforms. - Architect scalable solutions leveraging the Azure Data Stack, while integrating data from platforms such as Oracle, SAP, Salesforce, and PostgreSQL. - Provide technical leadership for data engineering initiatives, including architecture decisions, design reviews, performance optimization, and collaboration with business and technical stakeholders.
- Exposure to AWS Data Engineering, GCP Data Engineering, Airflow, Oracle, SAP, Salesforce, and PostgreSQL is highly desirable. - Experience with reporting and analytics platforms such as Power BI and Microsoft BI, along with strong technical leadership and stakeholder-management capabilities. What you will love about working here
Your next step
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
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About Capgemini Service SAS
- People
- About 11,267 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as CAP.PA.
- H-1B visas
- 771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
- Design and implement enterprise-scale Data Engineering and Data Architecture solutions across cloud and hybrid environments.
- Build robust data integration and ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory (ADF), Databricks, Synapse, SQL, Python, and Spark.
- Define and implement Data Governance, data quality, security, metadata management, and architectural standards across data platforms.
- Architect scalable solutions leveraging the Azure Data Stack, while integrating data from platforms such as Oracle, SAP, Salesforce, and PostgreSQL.
- Provide technical leadership for data engineering initiatives, including architecture decisions, design reviews, performance optimization, and collaboration with business and technical stakeholders.
Your Profile
- Strong experience in Data Engineering, Data Architecture, Data Integration, and Data Governance with the ability to design end-to-end enterprise data solutions.
- Hands-on expertise in Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse Analytics, SQL, Python, and Spark.
- Strong understanding of data lakes, lakehouse architecture, data warehouses, ETL/ELT frameworks, and cloud-based data platforms.
- Exposure to AWS Data Engineering, GCP Data Engineering, Airflow, Oracle, SAP, Salesforce, and PostgreSQL is highly desirable.
- Experience with reporting and analytics platforms such as Power BI and Microsoft BI, along with strong technical leadership and stakeholder-management capabilities.
What you will love about working here
- You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
- You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
- At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, IN
Your Role - Design and implement enterprise-scale Data Engineering and Data Architecture solutions across cloud and hybrid environments. - Build robust data integration and ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory (ADF), Databricks, Synapse, SQL, Python, and Spark.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.