Senior Data Architect

Info Way Solutions; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Info Way Solutions in Bengaluru seeks an experienced Senior Data Architect to design and deliver scalable, high-performance data solutions. You will drive data platform optimization, enable batch and near-real-time data integration, and ensure reliability through monitoring and DevOps best practices.

The role requires hands-on Snowflake expertise and strong knowledge of ETL tools (SSIS, PDI, ADF), Kafka streaming, SQL optimization, and production support.

Qualifications

• Design scalable, high-performance data architectures.
• Drive data platform performance tuning and troubleshooting.
• Develop and support batch and near-real-time data pipelines.
• Design and support Kafka-based streaming and event-driven solutions.
• Implement monitoring, observability, and proactive issue management.
• Lead incident triage, root cause analysis, and production support.
• Collaborate with cross-functional teams to deliver reliable data solutions.
• Provide technical leadership, guidance, and mentorship to team members.
• Strong expertise in Data Architecture and Data Engineering.
• Hands-on experience with Snowflake.
• Experience with ETL tools such as SSIS, Pentaho Data Integration (PDI), or Azure Data Factory (ADF).
• Strong knowledge of Apache Kafka and Event Streaming.
• Expertise in SQL, Advanced SQL, query optimization, and performance tuning.
• Experience in monitoring, observability, incident management, and production support.
• Familiarity with DevOps practices and collaboration.
• Exposure to AI-powered development tools such as GitHub Copilot, Claude, Agentic AI, and Model Context Protocol (MCP).

Responsibilities

• Design scalable, high-performance data architectures.
• Drive data platform performance tuning and troubleshooting.
• Develop and support batch and near-real-time data pipelines.
• Design and support Kafka-based streaming and event-driven solutions.
• Implement monitoring, observability, and proactive issue management.
• Lead incident triage, root cause analysis, and production support.
• Collaborate with cross-functional teams to deliver reliable data solutions.
• Provide technical leadership, guidance, and mentorship to team members.
• Strong expertise in Data Architecture and Data Engineering.
• Hands-on experience with Snowflake.
• Experience with ETL tools such as SSIS, Pentaho Data Integration (PDI), or Azure Data Factory (ADF).
• Strong knowledge of Apache Kafka and Event Streaming.
• Expertise in SQL, Advanced SQL, query optimization, and performance tuning.
• Experience in monitoring, observability, incident management, and production support.
• Familiarity with DevOps practices and collaboration.
• Exposure to AI-powered development tools such as GitHub Copilot, Claude, Agentic AI, and Model Context Protocol (MCP).

Skills

Data Architecture

Data Engineering

SQL Tuning

Apache Kafka

DevOps practices

Mentorship

Cross-functional collaboration

Tools

Snowflake

SSIS

Pentaho Data Integration (PDI)

Azure Data Factory (ADF)

GitHub Copilot

Claude AI

Agentic AI

Model Context Protocol (MCP)

Job description

We are looking for an experienced Senior Data Architect with strong expertise in Data Architecture, Snowflake, ETL, and Kafka to design and deliver scalable, high-performance data solutions.

The ideal candidate will drive data platform optimization, enable batch and near-real-time (NRT) data integration, and ensure platform reliability through effective monitoring, observability, and DevOps best practices.

• Design and implement scalable, high-performance data architectures.
• Drive data platform performance tuning, optimization, and troubleshooting.
• Develop and support batch and near-real-time (NRT) data pipelines.
• Design and support Kafka-based streaming and event-driven solutions.
• Implement monitoring, observability, and proactive issue management.
• Lead incident triage, root cause analysis, and production support.
• Collaborate with cross-functional teams to deliver reliable data solutions.
• Provide technical leadership, guidance, and mentorship to team members.
• Strong expertise in Data Architecture and Data Engineering.
• Hands-on experience with Snowflake.
• Experience with ETL tools such as SSIS, Pentaho Data Integration (PDI), or Azure Data Factory (ADF).
• Strong knowledge of Apache Kafka and Event Streaming.
• Expertise in SQL, Advanced SQL, query optimization, and performance tuning.
• Experience in monitoring, observability, incident management, and production support.
• Familiarity with DevOps practices and collaboration.
• Exposure to AI-powered development tools such as GitHub Copilot, Claude, Agentic AI, and Model Context Protocol (MCP).

Good to Have

• Experience with cloud platforms such as Azure, AWS, or GCP.