Capgemini
Key Responsibilities
1. Design and Build Data Solutions
Architect and implement modern data platforms using
Azure services
such as
Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Data Lake Storage, and Cosmos DB . Develop and maintain
data pipelines
for ingestion, transformation, and storage. Design
data models and schemas
to support
business intelligence
and
advanced analytics . 2. Data Governance and Compliance Implement
data security, privacy, and compliance
measures. Establish
governance frameworks
for data quality and lifecycle management. 3. Collaboration and Leadership Partner with
business stakeholders, data scientists, and engineering teams
to align architecture with business objectives. Provide
technical leadership , mentoring, and enforce
best practices
for data engineering teams. 4. Performance and Optimization Monitor
system performance
and troubleshoot issues. Optimize architecture for
cost efficiency, scalability, and high availability . 5. Innovation and Enablement Stay updated on
emerging Azure technologies and industry trends . Conduct
workshops and enablement sessions
to drive adoption of Azure data solutions.
Required Skills and Experience Technical Expertise Strong proficiency in
Azure services : Data Factory, Synapse, Databricks, Data Lake, Power BI. Hands-on experience with
data modeling, ETL design, and data warehousing . Knowledge of
SQL, NoSQL, PySpark , and BI tools. Architecture and Strategy 7+ years
in data architecture roles;
3+ years
with Azure data solutions. Familiarity with
Lakehouse architecture ,
Delta/Parquet formats , and
data governance tools .
Preferred Qualifications Experience in
regulated industries
(e.g., Financial Services). Knowledge of
Microsoft Fabric ,
Generative AI , and
RAG-based architectures .
Education & Certifications Bachelors or Masters degree in
Computer Science, Information Systems , or related fields. Certifications such as
Microsoft Certified: Azure Solutions Architect Expert
or
Azure Data Engineer Associate
are highly desirable.
Azure services
such as
Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Data Lake Storage, and Cosmos DB . Develop and maintain
data pipelines
for ingestion, transformation, and storage. Design
data models and schemas
to support
business intelligence
and
advanced analytics . 2. Data Governance and Compliance Implement
data security, privacy, and compliance
measures. Establish
governance frameworks
for data quality and lifecycle management. 3. Collaboration and Leadership Partner with
business stakeholders, data scientists, and engineering teams
to align architecture with business objectives. Provide
technical leadership , mentoring, and enforce
best practices
for data engineering teams. 4. Performance and Optimization Monitor
system performance
and troubleshoot issues. Optimize architecture for
cost efficiency, scalability, and high availability . 5. Innovation and Enablement Stay updated on
emerging Azure technologies and industry trends . Conduct
workshops and enablement sessions
to drive adoption of Azure data solutions.
Required Skills and Experience Technical Expertise Strong proficiency in
Azure services : Data Factory, Synapse, Databricks, Data Lake, Power BI. Hands-on experience with
data modeling, ETL design, and data warehousing . Knowledge of
SQL, NoSQL, PySpark , and BI tools. Architecture and Strategy 7+ years
in data architecture roles;
3+ years
with Azure data solutions. Familiarity with
Lakehouse architecture ,
Delta/Parquet formats , and
data governance tools .
Preferred Qualifications Experience in
regulated industries
(e.g., Financial Services). Knowledge of
Microsoft Fabric ,
Generative AI , and
RAG-based architectures .
Education & Certifications Bachelors or Masters degree in
Computer Science, Information Systems , or related fields. Certifications such as
Microsoft Certified: Azure Solutions Architect Expert
or
Azure Data Engineer Associate
are highly desirable.