Experience-8 years to 12 years
Location-Pune

This position is a hands-on Data Architect / Technical Lead rather than a traditional architecture-only role. The key is technical decision-making + customer engagement + team enablement + unblocking delivery.
We are looking for a Data Architect who can provide strong technical leadership across data engineering, architecture, and cloud solutions. The role requires a hands-on architect who can make sound technical decisions, work closely with the customer and engineering teams, resolve technical roadblocks, and drive scalable data solutions from design through implementation.
The ideal candidate should be versatile across modern data and AWS technologies, with strong experience in Python, Apache Spark, SQL, AWS, dbt, and Snowflake, along with a good understanding of event-driven architectures, CDC, data integration, and cloud-native services.
Key Responsibilities• Own and drive data architecture and technical decisions across data engineering initiatives.
• Work closely with customer architects, engineering leaders, product teams,



and developers to understand business and technical requirements and translate them into scalable solutions.
• Define data architecture, integration patterns, data models, pipelines, processing frameworks, and technology standards.
• Provide technical direction to data engineering teams and unblock complex implementation challenges.
• Review solution designs, code, data models, pipelines, and technical approaches to ensure quality, scalability, performance, and maintainability.
• Lead architecture discussions with the customer and provide explicit recommendations, trade-offs, and technology choices.
• Design and optimize data pipelines using Python, Spark, SQL, dbt, and Snowflake.
• Define and implement cloud-native data solutions leveraging relevant AWS services.
• Work across batch and near-real-time data processing, including CDC, event-driven architecture, streaming, and data integration patte

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