Top Tech Jobs & Startup Jobs in Mumbai

Leads the transformation of testing into a continuous quality engineering function. Designs end-to-end automation strategies for complex data pipelines, improves testing accuracy and efficiency, analyzes ETL data quality issues, adopts innovative tools, mentors team members, and coordinates cross-functional testing efforts.

Lead end-to-end data migration planning and execution, coordinating cross-functional teams to ensure accurate, complete, and reliable data transitions. Define migration strategies, controls, validation processes, and risk mitigations while monitoring quality, progress, and timelines. Serve as a subject matter expert, make team-level decisions, solve complex migration issues, and mentor junior team members. The role requires proficiency in Data Build Tool, data migration methodologies, data quality practices, and complex workflow coordination.

Design and develop production-ready AI/ML applications using cloud or on-premises pipelines. Apply generative AI, LLMs, deep learning, neural networks, conversational AI, and image processing. Lead model development and deployment, coordinate with stakeholders, make technical decisions, solve cross-team problems, and mentor junior engineers.

Leads end-to-end data migration planning and execution, coordinating cross-functional teams to ensure accurate, complete, and validated data transfer. Defines migration strategies, controls, timelines, and risk mitigation plans; monitors quality and progress; solves issues across teams; and mentors junior staff. The role requires Data Build Tool expertise, strong migration methodology knowledge, data validation skills, and at least 7.5 years of experience.

Designs and implements enterprise data platform architecture using Databricks. Collaborates with integration and data architecture teams to align systems, data models, and strategies. Leads platform blueprint development, makes cross-team technical decisions, mentors team members, and delivers scalable, secure solutions for complex analytics workloads. Responsibilities include data governance, data quality, metadata management, and coordination across multiple teams.

Designs and implements scalable data platform architectures using Databricks and cloud technologies. Collaborates with integration and data architects to align systems and data models, establishes platform standards, optimizes performance and costs, supports governance and security, resolves complex issues, and mentors teams. Coordinates with stakeholders to translate requirements into enterprise-grade data platform solutions.

Leads enterprise-scale Databricks lakehouse architecture and implementation, designing governed data platforms, scalable ETL/ELT pipelines, data models, integrations, security policies, and real-time analytics. Collaborates across data science, analytics, and platform teams while providing client leadership, execution ownership, performance optimization, and technical guidance on Unity Catalog, Delta technologies, data sharing, BI integrations, and advanced AI capabilities.

Leads enterprise data platform architecture and delivery, designing secure Databricks lakehouse solutions, scalable ETL/ELT pipelines, governance, data sharing, and analytics integrations. Provides hands-on guidance across Unity Catalog, Delta Lake, DLT, cloud platforms, data privacy, performance optimization, and real-time reporting. Partners with data science, analytics, and platform teams while providing client leadership, thought leadership, execution ownership, and people development.

Architects and implements enterprise-scale Databricks lakehouse platforms, including ingestion, transformation, governance, security, data sharing, and BI integrations. Leads Unity Catalog, Delta Lake, DLT, cloud architecture, performance optimization, and compliant PII management. Provides technical and client leadership across data, analytics, platform, and data science teams while guiding adoption of advanced Databricks capabilities and developing people.

Design, develop, and maintain data solutions and ETL pipelines using Snowflake and related tools. Ensure data quality, lead cross-functional data strategy, mentor junior engineers, resolve complex data issues, and manage team decisions for large-scale data migrations and deployments.