Top Tech Jobs & Startup Jobs in Mumbai

Leads and manages enterprise data engineering teams, overseeing managers, staffing, stakeholder relationships, vendor partnerships, operating-model improvements, data quality, and strategic initiatives. Provides technical guidance on cloud data platforms, data architecture, ETL/ELT, data warehousing, standards, and Agile delivery while building a culture of learning, collaboration, and accountability.

Leads the design, development, governance, and scaling of business intelligence, semantic-layer, conversational analytics, and AI-driven insight solutions. Builds Looker semantic models, LookML structures, BigQuery queries, dashboards, and governed self-service analytics products. Partners with business, product, technical, and governance teams across requirements, architecture, development, testing, deployment, monitoring, and continuous improvement. Establishes validation, metadata, access control, performance, and data-quality practices.

Design, build, and support cloud-based data pipelines, data models, and enterprise data warehouse solutions. Partner with stakeholders on business initiatives, troubleshoot data and performance issues, lead projects, mentor developers, evaluate technologies, and drive automation and continuous improvement using GCP and related data engineering tools.

Leads enterprise data architecture by designing scalable pipelines, data models, quality frameworks, and modern cloud-based data solutions. Partners with engineers, analysts, architects, and business stakeholders to shape technology roadmaps, evaluate emerging tools, and deliver strategic capabilities. Mentors data engineers, drives adoption of engineering practices, communicates architecture decisions, and supports hiring and onboarding.

Lead the migration and modernization of enterprise SQL Server databases to public cloud platforms. Administer 24/7 SQL Server environments, implement high-availability and disaster-recovery solutions, tune performance, manage backups, patching, and upgrades, and automate infrastructure with PowerShell and Terraform. Support cloud security, provisioning, monitoring, incident resolution, and application stakeholder collaboration within Agile and DevOps environments.

Designs, builds, and supports cloud-based data pipelines, data models, warehouses, and integrations, primarily using GCP. Troubleshoots performance and technical issues, leads enterprise initiatives, mentors developers, evaluates data technologies, and drives automation and continuous improvement. The role partners with business analysts, architects, and stakeholders to deliver global data engineering projects.

Build and maintain scalable end-to-end applications supporting the Palantir engineering portfolio. Responsibilities include technical design, .NET full-stack development, production troubleshooting, system integration, testing, code quality, DevOps improvements, and mentoring engineers. The role partners with cross-functional and global teams to deliver reliable, maintainable software solutions and drive adoption of modern technologies and engineering practices.

Owns the design, implementation, support, transformation, and continuous enhancement of TrakSYS MES and related digital manufacturing solutions. The role partners with business and technology stakeholders, manages integrations and incident resolution, supports roadmap development, delivers platform enhancements, and promotes system stability, adoption, training, and continuous improvement across manufacturing operations.

Supports demand planning through forecasting model analysis, data extraction, descriptive analytics, performance measurement, root-cause analysis, and process improvement. Uses SQL/PLSQL, visualization tools, statistical techniques, and cloud platforms to improve forecast accuracy. Partners with stakeholders and technical or data science teams to align forecasts, validate outputs, and implement standardized solutions. The role operates on a 1:30 p.m. to 10:30 p.m. shift.

Develops and maintains enterprise business intelligence solutions, including interactive Tableau dashboards, reporting tools, data visualizations, metrics, and analytical insights. Partners with business, product, data engineering, governance, and technical teams to translate requirements into scalable solutions. Responsibilities include data validation, technical architecture, troubleshooting, root-cause analysis, agile delivery, stakeholder communication, and deployment of standardized BI practices across the organization.