Jobs at Sigmoid

Execute large-scale enterprise database migrations from Sybase ASE and IBM DB2 to PostgreSQL, Amazon Aurora PostgreSQL, and SingleStore. Responsibilities include migration assessment, schema conversion, data validation, reconciliation, performance testing, cutover, rollback, production go-live, stabilization, troubleshooting, database administration, performance tuning, backup and recovery, scripting automation, documentation, and coordination with application, infrastructure, cloud, and engineering teams.

Owns end-to-end architecture for enterprise Azure data platforms using Microsoft Fabric and Azure Databricks. Establishes standards for DataOps, CI/CD, infrastructure as code, security, governance, networking, observability, and cost optimization. Advises clients, leads architecture workshops, evaluates technology options, manages risks, reviews designs, oversees implementation teams, and mentors architects. Requires extensive Azure, Fabric, Databricks, enterprise data architecture, security, governance, and client consulting experience.

Lead end-to-end data science and machine learning engagements for clients across multiple industries. Develop predictive models, statistical analyses, scalable data solutions, and technology roadmaps. Manage technical teams, allocate workloads, oversee project delivery, conduct reviews, and maintain client stakeholder relationships. Contribute to product development, pre-sales, business cases, and strategic consulting while ensuring project quality, utilization, and business impact.

Develop statistical and machine learning models, perform hypothesis testing, exploratory data analysis, root cause and factor analysis, and generate business insights. Extract and prepare data from enterprise data warehouses and big data platforms, train and improve models, monitor performance, and collaborate with clients across industries to solve complex business problems.

Leads end-to-end data science and AI analytics programs, combining hands-on predictive modeling with technical team management and client engagement. Develops statistical and machine learning solutions, data science roadmaps, scalable delivery processes, and technology strategies. Manages project execution, stakeholder expectations, team workloads, utilization, audits, and business cases while guiding data scientists and supporting sales and pre-sales activities.

Manage and grow Fortune 1000 enterprise accounts through relationship building, cross-selling, upselling, consultative selling, and new business development. Conduct QBRs, maintain customer satisfaction, forecast revenue and resources, develop value propositions, lead proposals and pitches, manage deals through contract closure, and coordinate with delivery and technical teams. The role requires strong communication, solution-selling, account management, and enterprise technology sales experience.

Manage and grow strategic Fortune 1000 accounts through enterprise B2B sales, consultative selling, account strategy, and relationship management. Responsibilities include identifying and closing opportunities, developing growth plans, forecasting revenue and staffing, handling escalations and RFPs, coordinating account reviews, and influencing senior stakeholders. The role requires expertise in data solutions, project-based account management, staff augmentation, and enterprise technology sales, with occasional late-hour availability for the EST time zone.

Lead a team to build a scalable big data platform, aligning initiatives with clients, managing team performance, and ensuring delivery against strategic requirements.

Lead client analytics engagements, translate business processes and problems into analytical solutions, manage data analysts, conduct quantitative and statistical analyses, create visualizations, and collaborate with data scientists and engineers to embed AI and analytics into business decisions.

Leads full-stack cloud-first web application development, guiding mixed-discipline teams from requirements through delivery. Responsibilities include client alignment, architecture and microservices design, API and database development, technical planning, risk management, production support, hiring, mentoring, and hands-on coding. The role requires enterprise application expertise, strategic leadership, and experience with modern frontend, backend, database, and agile technologies.

Leads Sigmoid’s CPG Supply Chain Analytics consulting practice in Bengaluru, setting strategy, driving growth, developing go-to-market initiatives, and expanding client relationships. The role oversees advanced analytics and AI/ML solution development, advises strategic customers, promotes thought leadership, and manages practice-level knowledge sharing. It requires extensive consulting experience with large CPG clients, supply chain expertise, analytics implementation skills, and strong executive leadership and communication abilities.

Lead Sigmoid’s CPG Supply Chain Analytics consulting practice in Bengaluru by setting strategy, expanding market presence, driving revenue, developing go-to-market initiatives, overseeing advanced analytics solutions, advising clients, managing knowledge initiatives, and representing the company through thought leadership. The role requires strategic customer leadership, supply chain expertise, analytics solution experience, and the ability to lead teams and business growth.

Build scalable full-stack web applications using React, TypeScript, Node.js or FastAPI, and PostgreSQL. Design responsive interfaces, REST APIs, microservices, database models, and automated tests. Apply clean architecture and software design principles, participate in Agile ceremonies, collaborate with cross-functional teams, and mentor junior engineers. The role also involves performance optimization, debugging, code reviews, and driving features from design through deployment.

Manages and expands enterprise client relationships through cross-selling, up-selling, consultative solutions selling, and new business development. Builds relationships with decision-makers, identifies new revenue opportunities, conducts QBRs, monitors customer satisfaction, forecasts revenue and resources, leads proposals and deal negotiations, and coordinates with delivery and technical teams to maintain successful engagements.

Act as a presales consultant engaging prospective enterprise clients to analyze needs, design tailored data analytics solutions, deliver presentations and demos, prepare proposals, and collaborate with sales and technical teams to ensure smooth handoff to implementation.

Lead design and delivery of a scalable big-data platform: consult with Fortune 500 clients, design and implement distributed data solutions (ETL, APIs, integrations), mentor and hire engineers, productionize jobs, and stay hands-on with Spark/Hadoop and cloud technologies.

Supports HR operations, employee lifecycle processes, onboarding, HR documentation, employee records, HR reporting, employee queries, engagement initiatives, performance cycles, and HRBP activities. The intern coordinates with managers and HR stakeholders, assists with communications and people projects, maintains HRMS data, and contributes to process improvements and administrative tasks.

Partner with Data Engineering leaders to design and deliver technical, leadership, and AI-focused learning roadmaps. Develop role-based learning pathways, leverage SMEs and AI tools for content, manage multiple programs, measure impact via LMS and analytics, and advise leadership on talent readiness and capability development.

Technical Lead responsible for building scalable data platforms, collaborating with Fortune 500 clients, providing technical leadership, and managing teams. Requires strong experience in big data technologies and cloud infrastructure.

The Software Development Engineer II will develop large-scale Big Data architectures, coding primarily in Java and Python, and interface with Fortune 500 clients. Responsibilities include API design, technical requirement definition, and data management.