Data Architect

SRS Infoway; Bengaluru; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

SRS Infoway in Bengaluru is seeking a Data Architect to own the data modeling and platform design blueprint for a defined domain, guiding Data Engineers and governance efforts across projects. You will define data standards, model choices, and data platform structure while advising stakeholders on trade-offs and technology options like Snowflake, Databricks, or BigQuery.

This role emphasizes governance, metadata, and lineage, with strong communication skills to bridge technical and business

Qualifications

• 7-9 years in data engineering, data modeling, or data architecture, with ownership of modeling or platform design decisions.
• Hands-on data modeling techniques (dimensional modeling, Data Vault 2.0, or similar).
• Experience with at least one cloud data platform: Snowflake, Databricks, BigQuery, or Redshift.
• Working knowledge of ETL/ELT design to support pipelines.
• Experience establishing data governance practices: data contracts, lineage tracking, and metadata management.
• Strong communication to explain modeling and platform trade-offs to technical and business stakeholders.
• Cloud data certifications (e.g., Snowflake SnowPro, Azure/AWS/GCP) is a plus, not required.
• Bachelor's degree in Computer Science, Information Systems, or related field.

Responsibilities

• Design data models (dimensional, Data Vault, or equivalent) and define database/data platform architecture for the assigned domain.
• Establish data standards, canonical data structures, and naming/classification conventions for the domain.
• Define data integration and data governance requirements, partnering with Data Engineering and Data Governance teams.
• Review and approve data pipeline and data product designs built by Data Engineers for adherence to architecture standards.
• Support data quality, metadata, and lineage initiatives, ensuring data is documented and traceable from source to use.
• Advise business and technical stakeholders on data architecture options and trade-offs for their use cases.
• Evaluate and recommend data platform technologies (e.g., Snowflake, Databricks, BigQuery) in partnership with Engineering leadership.

Skills

Data modeling

Data architecture

Data governance

ETL/ELT design

Cloud data platforms

Communication skills

Cloud certifications (optional)

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Snowflake

Databricks

BigQuery

Redshift

Job description

About the Role

The Data Architect owns the data modeling and platform design blueprint for a defined domain, reporting into the Chapter Lead: Data Architecture. The role designs data models, defines data platform structure (e.g., data lake/warehouse organization), and sets standards that Data Engineers build against distinct from a senior Data Engineer, this role owns the modeling and governance layer, not the day-to-day pipeline code.

Key Responsibilities

• Design data models (dimensional, Data Vault, or equivalent) and define database/data platform architecture for the assigned domain.
• Establish data standards, canonical data structures, and naming/classification conventions for the domain.
• Define data integration and data governance requirements, partnering with Data Engineering and Data Governance teams.
• Review and approve data pipeline and data product designs built by Data Engineers for adherence to architecture standards.
• Support data quality, metadata, and lineage initiatives, ensuring data is documented and traceable from source to use.
• Advise business and technical stakeholders on data architecture options and trade-offs for their use cases.
• Evaluate and recommend data platform technologies (e.g., Snowflake, Databricks, BigQuery) in partnership with Engineering leadership.

Key Skills & Experience

• 7-9 years in data engineering, data modeling, or data architecture, including demonstrated ownership of data modeling or platform design decisions.
• Strong hands-on experience with data modeling techniques (dimensional modeling, Data Vault 2.0, or similar).
• Practical experience with at least one cloud data platform (Snowflake, Databricks, BigQuery, or Redshift).
• Working knowledge of ETL/ELT design, ensuring architecture supports engineers building pipelines against it.
• Experience establishing data governance practices - data contracts, lineage tracking, and catalog/metadata management.
• Strong communication skills, able to explain modeling and platform trade-offs to both technical and business stakeholders.
• Cloud data certification (e.g., Snowflake SnowPro, Azure/AWS/GCP data certifications) is a plus, not required.
• Bachelor's degree in Computer Science, Information Systems, or related field.