We are looking for a seasoned Data Architect to lead the data architecture track for a large-scale analytics transformation programme. This is a hands-on leadership role where you will design build and drive delivery across a complex multi-domain roadmap.
You will operate at the intersection of data engineering programme governance and business intelligence ensuring that data is accurate scalable and aligned to business outcomes. This is a greenfield programme requiring strong ownership of architecture delivery and stakeholder alignment.
Location- Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)
Responsibilities:
Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
Design atomic star schema data models (fact and dimension tables) across multiple business domains
Define and implement aggregation and KPI layers aligned to business reporting requirements
Establish data modelling standards naming conventions and design patterns across teams
Ensure alignment with enterprise data strategy and roadmap
Translate business processes into scalable and reusable data models
Write and review SQL Python and Spark code for pipelines and transformations
Build and validate data models in Snowflake or Databricks
Deliver pipelines using AWS services (S3 Glue Athena)
Perform data reconciliation and validation across layers (source curated BI)
Ensure data quality consistency and integrity across the pipeline
Own end-to-end SDLC (requirements design build test release operate)
Lead and unblock data engineers and analysts on day-to-day delivery
Identify blockers dependencies and risks early and propose solutions
Align delivery with programme roadmap and milestones
Track execution using Jira and maintain documentation in Confluence
Gather and validate requirements across multiple business domains
Translate business requirements into technical designs and data models
Communicate architecture decisions clearly to non-technical stakeholders
Drive cross-team alignment to ensure consistent reliable and trusted outputs
Requirements
Minimum 10 years of experience in Data & Analytics Architecture with exposure to large-scale analytics transformation programmes
Strong experience in Medallion architecture and AWS-based data platforms
Experience with Snowflake or Databricks (data modelling optimisation pipelines)
Strong expertise in data modelling (star schema dimensional modelling SCDs normalisation)
Proven experience in data reconciliation and validation across layers
Strong understanding of full SDLC lifecycle
Ability to quickly understand new business domains and processes
Experience working with transaction-heavy domains (Finance Supply Chain HR Customer etc.)
Experience working with ERP / enterprise systems (SAP Oracle Salesforce etc.) is a plus
Familiarity with frameworks like APQC / SCOR is a plus
Note: Given the urgency of the role we are currently prioritizing candidates who can join immediately or within 2 weeks.
Required Skills:
Bachelors or Masters degree in Computer Science Engineering or a related field. 12 years of experience in data engineering data platforms or analytics delivery. Strong hands-on experience designing and delivering solutions on modern data platforms like Snowflake and Databricks. Proven expertise in data modeling and architecture including dimensional and modern platform patterns. Prior experience with traditional ETL tools preferably Informatica PowerCenter and/or IDMC. Demonstrated experience leading enterprise data platform implementations. Proven track record in client-facing delivery leadership roles Excellent client engagement and stakeholder management capabilities. Strong architectural mindset combined with pragmatic delivery execution. Excellent verbal and written communication skills including executive presentations
We are looking for a seasoned Data Architect to lead the data architecture track for a large-scale analytics transformation programme. This is a hands-on leadership role where you will design build and drive delivery across a complex multi-domain roadmap.You will operate at the intersection of data ...
We are looking for a seasoned Data Architect to lead the data architecture track for a large-scale analytics transformation programme. This is a hands-on leadership role where you will design build and drive delivery across a complex multi-domain roadmap.
You will operate at the intersection of data engineering programme governance and business intelligence ensuring that data is accurate scalable and aligned to business outcomes. This is a greenfield programme requiring strong ownership of architecture delivery and stakeholder alignment.
Location- Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)
Responsibilities:
Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
Design atomic star schema data models (fact and dimension tables) across multiple business domains
Define and implement aggregation and KPI layers aligned to business reporting requirements
Establish data modelling standards naming conventions and design patterns across teams
Ensure alignment with enterprise data strategy and roadmap
Translate business processes into scalable and reusable data models
Write and review SQL Python and Spark code for pipelines and transformations
Build and validate data models in Snowflake or Databricks
Deliver pipelines using AWS services (S3 Glue Athena)
Perform data reconciliation and validation across layers (source curated BI)
Ensure data quality consistency and integrity across the pipeline
Own end-to-end SDLC (requirements design build test release operate)
Lead and unblock data engineers and analysts on day-to-day delivery
Identify blockers dependencies and risks early and propose solutions
Align delivery with programme roadmap and milestones
Track execution using Jira and maintain documentation in Confluence
Gather and validate requirements across multiple business domains
Translate business requirements into technical designs and data models
Communicate architecture decisions clearly to non-technical stakeholders
Drive cross-team alignment to ensure consistent reliable and trusted outputs
Requirements
Minimum 10 years of experience in Data & Analytics Architecture with exposure to large-scale analytics transformation programmes
Strong experience in Medallion architecture and AWS-based data platforms
Experience with Snowflake or Databricks (data modelling optimisation pipelines)
Strong expertise in data modelling (star schema dimensional modelling SCDs normalisation)
Proven experience in data reconciliation and validation across layers
Strong understanding of full SDLC lifecycle
Ability to quickly understand new business domains and processes
Experience working with transaction-heavy domains (Finance Supply Chain HR Customer etc.)
Experience working with ERP / enterprise systems (SAP Oracle Salesforce etc.) is a plus
Familiarity with frameworks like APQC / SCOR is a plus
Note: Given the urgency of the role we are currently prioritizing candidates who can join immediately or within 2 weeks.
Required Skills:
Bachelors or Masters degree in Computer Science Engineering or a related field. 12 years of experience in data engineering data platforms or analytics delivery. Strong hands-on experience designing and delivering solutions on modern data platforms like Snowflake and Databricks. Proven expertise in data modeling and architecture including dimensional and modern platform patterns. Prior experience with traditional ETL tools preferably Informatica PowerCenter and/or IDMC. Demonstrated experience leading enterprise data platform implementations. Proven track record in client-facing delivery leadership roles Excellent client engagement and stakeholder management capabilities. Strong architectural mindset combined with pragmatic delivery execution. Excellent verbal and written communication skills including executive presentations
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