Data Architect

iLink Digital; Bengaluru Urban; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

iLink Digital Bangalore invites a seasoned Data Architect to design, build and govern enterprise-grade data architectures for analytics, reporting and advanced data use cases. The role requires collaboration with business, engineering and analytics teams to ensure scalable, secure, and high-performing data solutions aligned with organizational goals.

We seek 10+ years of experience in data architecture, strong governance skills, and hands-on cloud data platform expertise.

Qualifications

• 10+ years of experience as a data architect or in a similar role.
• Experience designing enterprise data models, governance, and security.
• Proficiency with cloud data platforms and ETL/ELT tools.

Responsibilities

• Define and maintain enterprise data architecture, standards and best practices.
• Design end-to-end data solutions across ingestion, storage, processing and consumption layers.
• Create conceptual, logical and physical data models.
• Architect data lakes, data warehouses and lakehouses.
• Lead cloud data platform initiatives on AWS/Azure/GCP and evaluate tools.
• Ensure data governance, quality and security compliance; collaborate with security teams.
• Mentor data engineers and analysts; participate in architecture review boards.

Skills

SQL

Data warehousing

Data lakes

Azure Synapse

AWS Redshift

Snowflake

BigQuery

ETL/ELT tools

Kafka

Kinesis

Event Hubs

TOGAF

DAMA-DMBOK

Metadata management

Data lineage

Stakeholder management

Influence

Strategic thinking

Cloud platforms

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

Azure Synapse

AWS Redshift

Snowflake

BigQuery

ADF

Informatica

Glue

dbt

Kafka

Kinesis

Job description

Bangalore North, India | Posted on 02/13/2026

Data Architect (Azure) with preferable Teradata Experience

Requirements

Job Title: Data Architect

Experience: 10+Years (can be adjusted)
Location: [Onsite / Hybrid / Remote]
Employment Type: Full-time

Job Summary

We are looking for an experienced Data Architect to design, build,and govern enterprise-level data architecture that supports analytics,reporting, and advanced data use cases. The role requires close collaborationwith business, engineering, and analytics teams to ensure scalable, secure, andhigh-performing data solutions aligned with organizational goals.

Key Responsibilities

Data Architecture & Strategy

• Define and maintain enterprise dataarchitecture, standards, and best practices.
• Design end-to-end data solutions including data ingestion, storage, processing, and consumption layers.
• Create conceptual, logical, andphysical data models.

Data Platforms & Integration

• Architect and oversee data lakes,data warehouses, and lakehouse solutions.
• Design data integration patterns forbatch and real-time processing.
• Ensure seamless integration acrossmultiple source systems and downstream consumers.

Cloud & Technology Leadership

• Lead data architecture on cloudplatforms (AWS / Azure / GCP).
• Evaluate and recommend tools andtechnologies (ETL, orchestration, streaming, BI).
• Optimize performance, scalability, andcost efficiency of data platforms.

Governance, Security & Quality

• Define and enforce data governance,lineage, metadata, and quality standards.
• Ensure compliance with security,privacy, and regulatory requirements.
• Collaborate with security teams ondata access and protection strategies.

Stakeholder Collaboration & Leadership

• Work with business leaders totranslate requirements into data solutions.
• Guide and mentor data engineers andanalysts on architecture best practices.
• Participate in architecture reviewboards and technical decision-making.

Required Skills & Qualifications

Technical Skills

• Advanced SQL and databasedesign experience.
• Hands-on experience with datawarehousing and data lake architectures.
• Proficiency in cloud data services ("e.g., Azure Synapse, AWS Redshift, Snowflake, BigQuery").
• Experience with ETL/ELT tools (ADF, Informatica, Glue, dbt, etc.).
• Knowledge of streaming platforms (Kafka, Kinesis, Event Hubs).
• Experience with data architectureframeworks (TOGAF, DAMA-DMBOK preferred).
• Strongunderstanding of metadata management and data lineage.

Soft Skills

• Strong communication and stakeholdermanagement skills.
• Ability to influence technical andnon-technical audiences.
• Strategic thinking with hands-onproblem-solving ability.

Education

• Bachelor’s or Master’s degree in ComputerScience, Engineering, or related field.

Nice to Have

• Cloud certifications (AWS / Azure /GCP).
• Experience with BI tools (PowerBI, Tableau, Looker).
• Exposure to ML/AI data platforms.
• Experience in regulated industries(banking, healthcare, etc.).