Senior Data Architect

JK Tech; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading data solutions company in Bengaluru is seeking an experienced Data Architect to design and implement scalable data architectures for enterprise analytics. The ideal candidate should have over 12 years of experience, particularly in data modeling and cloud-based platforms like Snowflake and AWS. Responsibilities include developing robust ETL/ELT pipelines and optimizing data workload performance. Excellent communication skills are crucial for this role, which emphasizes collaboration with business stakeholders to meet data needs.

Qualifications

• 12+ years of experience in Data Architecture / Data Engineering roles.
• Proven expertise in data modeling and cloud-based data solutions.
• Hands-on experience with data pipeline orchestration tools.

Responsibilities

• Design and implement robust, scalable data engineering solutions.
• Develop ETL/ELT pipelines leveraging Databricks and Snowflake.
• Optimize performance of data workflows and pipelines.

Skills

Data Architecture

ETL/ELT design

Data Governance

Collaboration

Python

SQL

Spark

Cloud Integration

API integrations

Tools

Databricks

Snowflake

Azure Data Factory

Airflow

DBT

Job description

We are looking for a Data Architect with a strong background in data engineering & cloud data platforms. The ideal candidate will design and implement scalable data architectures that power enterprise analytics, AI/ML, and GenAI solutions — ensuring data availability, quality, and governance across the organization.

Responsibilities

Data Architecture & Strategy

• Design & Architecture: Design and implement robust, scalable, and optimized data engineering solutions on the Databricks platform. Architect data pipelines that scale efficiently and reliably.
• Data Pipeline Development: Develop ETL/ELT pipelines leveraging Databricks notebooks, Delta Lake, Snowflake tech stack, Azure Data Factory etc.
• Cloud Integration: Work closely with cloud platforms like Azure, AWS, or GCP to integrate Databricks or Snowflake with data storage (e.g., ADLS, S3, etc.), databases, and other services.
• Performance Optimization: Optimize the performance of data workflows by tuning Databricks clusters, improving query performance, and identifying bottlenecks in data processing.
• Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand business requirements and translate them into scalable data solutions.
• Data Governance & Security: Ensure best practices for data security, governance, and compliance when working with sensitive or large datasets.
• Automation & Monitoring: Automate data pipeline deployments and create monitoring dashboards for ongoing performance checks.
• Continuous Improvement: Stay up to date with the latest Databricks features and Snowflake eco system best practices to continuously improve existing systems and processes.

Qualifications

• 12+ years of experience in Data Architecture / Data Engineering roles.
• Proven expertise in data modeling, ETL/ELT design, and cloud-based data solutions (AWS Redshift, Snowflake, BigQuery, or Synapse).
• Hands-on experience with data pipeline orchestration tools (Airflow, DBT, Azure Data Factory, etc.).
• Proficiency in Python, SQL, and Spark for data processing and integration.
• Experience with API integrations and data APIs for AI systems.
• Excellent communication and stakeholder management skills.