Capgemini
Data Architect – Capgemini
Join Capgemini as a Data Architect and help unlock technology value.
Qualifications
Must Have Skills: Airflow, Python, Snowflake
Bachelor’s degree in Computer Science, related field; advanced degree preferred
12+ years of experience in data technology
At least 5 years as a Data Engineer with hands‑on experience in cloud environments
8+ years of Python programming focused on data processing and distributed systems
8+ years working with relational databases, SQL, dimensional modeling, and DBT
8+ years designing and administering cloud‑based data warehousing solutions (Snowflake, Databricks)
8+ years experience with Kafka or other streaming platforms
Exposure to AI based advanced techniques and tools
Strong understanding of database fundamentals, advanced SQL development and optimization, ELT/ETL processes and DBT
Experience with Java, Oracle, MS SQL Server, Druid, Qlik/Golden Gate CDC, and Power BI is a plus
Strong Leadership Abilities and Excellent Communication Skills
Responsibilities
Architect streaming data ingestion and integration with downstream systems
Implement AI‑driven controller to orchestrate tens of millions of streams and micro‑batches
Design AI‑powered onboarding of new data sources
Develop AI‑powered compute engine and data serving semantic layer
Deliver scalable cloud data services and APIs with sub‑second response times over petabytes of data
Develop a unified alerting and monitoring framework supporting streaming transformations and compute across thousands of institutional clients and hundreds of external data sources
Build a self‑service data management and operations platform
Implement a data quality monitoring framework
Benefits
Flexible work
Healthcare including dental, vision, mental health, and well‑being programs
Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well‑being benefits like subsidized backup child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
EEO Statement Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Salary The base salary range for this role is $130,000 to $135,000 per year. The range may be modified in the future and may include variable compensation, bonus, or commission. Full‑time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and other benefits.
#J-18808-Ljbffr
Qualifications
Must Have Skills: Airflow, Python, Snowflake
Bachelor’s degree in Computer Science, related field; advanced degree preferred
12+ years of experience in data technology
At least 5 years as a Data Engineer with hands‑on experience in cloud environments
8+ years of Python programming focused on data processing and distributed systems
8+ years working with relational databases, SQL, dimensional modeling, and DBT
8+ years designing and administering cloud‑based data warehousing solutions (Snowflake, Databricks)
8+ years experience with Kafka or other streaming platforms
Exposure to AI based advanced techniques and tools
Strong understanding of database fundamentals, advanced SQL development and optimization, ELT/ETL processes and DBT
Experience with Java, Oracle, MS SQL Server, Druid, Qlik/Golden Gate CDC, and Power BI is a plus
Strong Leadership Abilities and Excellent Communication Skills
Responsibilities
Architect streaming data ingestion and integration with downstream systems
Implement AI‑driven controller to orchestrate tens of millions of streams and micro‑batches
Design AI‑powered onboarding of new data sources
Develop AI‑powered compute engine and data serving semantic layer
Deliver scalable cloud data services and APIs with sub‑second response times over petabytes of data
Develop a unified alerting and monitoring framework supporting streaming transformations and compute across thousands of institutional clients and hundreds of external data sources
Build a self‑service data management and operations platform
Implement a data quality monitoring framework
Benefits
Flexible work
Healthcare including dental, vision, mental health, and well‑being programs
Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well‑being benefits like subsidized backup child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
EEO Statement Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Salary The base salary range for this role is $130,000 to $135,000 per year. The range may be modified in the future and may include variable compensation, bonus, or commission. Full‑time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and other benefits.
#J-18808-Ljbffr