Add office photos
Engaged Employer
i
This company page is being actively managed by
Birlasoft Team. If you also belong to the team, you
can get access from
here
Birlasoft
Compare
All Filters
564 Birlasoft Jobs
Sr Cloud Data Architect
Birlasoft
posted 13d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Short Description
About Birlasoft:
About the Job:
Birlasoft is seeking a visionary Senior/Lead Cloud and Data Architect with proven leadership capabilities to drive enterprise-level data solutions. The ideal candidate will have expertise in cloud platforms ( AWS , Azure , or GCP ), mandatory experience in Databricks or Snowflake , and a strong foundation in data warehousing , data modelling , DevOps , and DataOps . Additionally, the role demands a strategic leader with an understanding of machine learning (ML) concepts and the ability to function as an Enterprise Architect , providing guidance and alignment across diverse teams and initiatives.
Title: Senior/Lead Cloud and Data Architect
Location: Noida / Pune / Mumbai / Hyderabad / Bangalore / Chennai / Coimbatore
Educational Background: Any Graduation
Leadership and Collaboration: Lead and inspire cross-functional teams, including data engineers, data scientists, ML engineers, and BI analysts, fostering a culture of collaboration, innovation, and continuous improvement.
Act as the central technical point of contact for enterprise-wide data and analytics initiatives, ensuring alignment with business objectives.
Collaborate with senior leadership and business stakeholders to define and deliver on data strategy, ensuring scalability and alignment with enterprise goals.
Mentor and upskill team members, providing guidance on best practices, emerging technologies, and professional development.
Enterprise Architecture: Develop and maintain enterprise-level architectural blueprints for cloud and data platforms, ensuring interoperability and scalability.
Create a cohesive architecture that integrates data platforms, ML systems, and business intelligence tools while adhering to governance and compliance requirements.
Provide strategic input on technology roadmaps, ensuring alignment with organizational vision and future-proofing investments.
Evaluate and recommend emerging technologies and frameworks to enhance enterprise data capabilities.
Cloud and Data Platform Engineering : Design and implement cutting-edge cloud architectures using AWS, Azure, or GCP, focusing on scalability, security, and cost optimization.
Build and optimize modern data platforms using Databricks or Snowflake for advanced analytics and real-time data processing.
Lead the development of end-to-end data pipelines, ensuring robust integration between data sources, platforms, and analytics tools.
Data and ML Integration: Collaborate with ML teams to deploy machine learning pipelines and operationalize AI models within enterprise systems.
Provide architectural support for ML initiatives, including data preparation, feature engineering, and model lifecycle management.
Enable seamless integration of ML and analytics into business workflows, enhancing decision-making and operational efficiency.
Data Warehousing and Modeling: Architect enterprise data warehouses with robust data models, ensuring high performance and reliability for analytics workloads.
Lead the development of advanced data models that cater to both analytical and operational requirements, emphasizing scalability and data quality.
DevOps and DataOps Practices: Establish and enforce DevOps and DataOps pipelines to automate deployments, enhance agility, and ensure operational excellence.
Drive initiatives for continuous improvement in data delivery, ensuring high availability, data quality, and scalability.
Governance, Security, and Compliance: Define and enforce data governance policies, including data security, lineage, and compliance with industry regulations.
Implement robust security measures to protect sensitive data across platforms, adhering to privacy standards such as GDPR and CCPA.
Act as the central technical point of contact for enterprise-wide data and analytics initiatives, ensuring alignment with business objectives.
Collaborate with senior leadership and business stakeholders to define and deliver on data strategy, ensuring scalability and alignment with enterprise goals.
Mentor and upskill team members, providing guidance on best practices, emerging technologies, and professional development.
Enterprise Architecture: Develop and maintain enterprise-level architectural blueprints for cloud and data platforms, ensuring interoperability and scalability.
Create a cohesive architecture that integrates data platforms, ML systems, and business intelligence tools while adhering to governance and compliance requirements.
Provide strategic input on technology roadmaps, ensuring alignment with organizational vision and future-proofing investments.
Evaluate and recommend emerging technologies and frameworks to enhance enterprise data capabilities.
Cloud and Data Platform Engineering : Design and implement cutting-edge cloud architectures using AWS, Azure, or GCP, focusing on scalability, security, and cost optimization.
Build and optimize modern data platforms using Databricks or Snowflake for advanced analytics and real-time data processing.
Lead the development of end-to-end data pipelines, ensuring robust integration between data sources, platforms, and analytics tools.
Data and ML Integration: Collaborate with ML teams to deploy machine learning pipelines and operationalize AI models within enterprise systems.
Provide architectural support for ML initiatives, including data preparation, feature engineering, and model lifecycle management.
Enable seamless integration of ML and analytics into business workflows, enhancing decision-making and operational efficiency.
Data Warehousing and Modeling: Architect enterprise data warehouses with robust data models, ensuring high performance and reliability for analytics workloads.
Lead the development of advanced data models that cater to both analytical and operational requirements, emphasizing scalability and data quality.
DevOps and DataOps Practices: Establish and enforce DevOps and DataOps pipelines to automate deployments, enhance agility, and ensure operational excellence.
Drive initiatives for continuous improvement in data delivery, ensuring high availability, data quality, and scalability.
Governance, Security, and Compliance: Define and enforce data governance policies, including data security, lineage, and compliance with industry regulations.
Implement robust security measures to protect sensitive data across platforms, adhering to privacy standards such as GDPR and CCPA.
Essential job tasks
- 10+ years in data architecture, cloud platforms, and advanced analytics.
- Hands-on experience with at least two cloud platforms (AWS, Azure, or GCP) is mandatory.
- Expertise in Databricks or Snowflake is required.
- Comprehensive understanding of data warehousing, data modelling, and data integration.
- Experience implementing ML pipelines or integrating ML solutions with enterprise systems.
- Proven track record in enterprise architecture, aligning technology solutions with business goals.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Cloud Data Architect roles with real interview advice
People are getting interviews at Birlasoft through
People are getting interviews through
(based on 174 Birlasoft interviews)
Job Portal
Campus Placement
Referral
Company Website
Recruitment Consultant
Walkin
51%
10%
8%
5%
3%
2%
21% candidates got the interview through other sources.
High
Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
What people at Birlasoft are saying
What Birlasoft employees are saying about work life
based on 2.7k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Birlasoft Benefits
View more benefits
Compare Birlasoft with
Accenture
Compare
Cognizant
Compare
Capgemini
Compare
Wipro
Compare
TCS
Compare
Infosys
Compare
HCLTech
Compare
Tech Mahindra
Compare
LTIMindtree
Compare
Mphasis
Compare
Hexaware Technologies
Compare
KPIT Technologies
Compare
DXC Technology
Compare
NTT Data Information Processing Services
Compare
Sutherland Global Services
Compare
eClerx
Compare
Coforge
Compare
Virtusa Consulting Services
Compare
L&T Technology Services
Compare
CGI Group
Compare
Similar Jobs for you
Birlasoft Pune Office Location
Pune Office
Birla Medi Soft - Laboratory Information System Software Provider, 111, Gulmohar Centre Point,, Pune -Nagar RD,Viman nagar
Pune
Maharashtra 411014
Maharashtra 411014
Share an Interview