Data Architect

iLink Digital; Bengaluru; Hybrid; INR 223,200 - 334,800; Full time

Job summary

A leading technology firm is seeking an experienced Data Architect to design and govern enterprise data architecture, particularly focusing on Azure-based solutions. The role involves collaboration across teams to implement scalable and secure data solutions. Candidates should possess strong skills in SQL and data warehousing, alongside at least 10 years of relevant experience. A Bachelor’s or Master’s degree in a related field is required. Opportunity for hybrid or on-site work.

Qualifications

• 10+ years of experience in data architecture.
• Hands-on experience with data warehousing and data lake architectures.
• Strong communication and stakeholder management skills.

Responsibilities

• Design and govern enterprise-level data architecture.
• Oversee data lakes, warehouses, and integration.
• Optimize performance and scalability of data platforms.

Skills

Advanced SQL

Data warehousing architecture

Data lake architecture

Cloud data services

ETL/ELT tools

Streaming platforms

Data architecture frameworks

Metadata management

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Azure Synapse

AWS Redshift

Snowflake

BigQuery

ADF

Informatica

Kafka

PowerBI

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.).