Data Architect

iLink Digital; Bengaluru; Hybrid; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading digital solutions company in Bengaluru is looking for an experienced Data Architect to design and govern enterprise data architecture. This role involves collaboration with various teams to develop scalable data solutions. The ideal candidate will have over 10 years of experience in data architecture, strong SQL skills, and expertise in cloud data services. You will lead initiatives in data platforms and ensure adherence to governance and security standards in a dynamic environment.

Qualifications

• 10+ years of experience in data architecture, preferably with cloud technologies.
• Strong collaboration skills with business and engineering teams.
• Experience with cloud data platforms and governance practices.

Responsibilities

• Define and maintain enterprise-level data architecture and best practices.
• Architect and oversee data lakes and warehouses solutions.
• Lead data architecture initiatives on cloud platforms like AWS or Azure.

Skills

Advanced SQL and database design

Data warehousing and data lake architectures

Cloud data services (Azure Synapse, etc.)

ETL/ELT tools (ADF, Informatica, etc.)

Streaming platforms (Kafka, Kinesis)

Data architecture frameworks (TOGAF, DAMA-DMBOK)

Metadata management and data lineage

Communication and stakeholder management

Strategic thinking and problem-solving

Education

Bachelor's or Master's degree in Computer Science, Engineering

Tools

Azure Synapse

AWS Redshift

Snowflake

BigQuery

Informatica

dbt

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 collaboration with business, engineering, and analytics teams to ensure scalable, secure, and high‑performing data solutions aligned with organizational goals.

Key Responsibilities

Data Architecture & Strategy

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

Data Platforms & Integration

• Architect and oversee data lakes, data warehouses, and lakehouse solutions.
• Design data integration patterns for batch and real‑time processing.
• Ensure seamless integration across multiple source systems and downstream consumers.

Cloud & Technology Leadership

• Lead data architecture on cloud platforms (AWS / Azure / GCP).
• Evaluate and recommend tools and technologies (ETL, orchestration, streaming, BI).
• Optimize performance, scalability, and cost 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 on data access and protection strategies.

Stakeholder Collaboration & Leadership

• Work with business leaders to translate requirements into data solutions.
• Guide and mentor data engineers and analysts on architecture best practices.
• Participate in architecture review boards and technical decision‑making.

Required Skills & Qualifications

Technical Skills

• Advanced SQL and database design experience.
• Hands‑on experience with data warehousing 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 architecture frameworks (TOGAF, DAMA-DMBOK preferred).
• Strong understanding of metadata management and data lineage.

Soft Skills

• Strong communication and stakeholder management skills.
• Ability to influence technical and non‑technical audiences.
• Strategic thinking with hands‑on problem‑solving ability.

Education

• Bachelor’s or Master’s degree in Computer Science, 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.).