Data Scientist Algorithms Community Support Salary India in India

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Head of Services, APAC, is responsible for building, scaling, and leading a high-performing services organization within the Asia Pacific region. This leader will translate the global services strategy into local execution, ensuring Addepar’s standards for implementation, partner solutions and client support are met. A primary focus will be resolving ongoing business-as-usual (BAU) requirements, managing existing feed enhancements, and mitigating the recurring service escalations that have necessitated a dedicated local leadership presence. As a key leader in a matrixed organization, this role reports directly to the VP, Global Services & Delivery, while maintaining a strategic partnership with regional business leadership. The successful candidate will navigate a collaborative structure where cross-functional alignment is essential, as some regional team members may maintain dual reporting lines to global and regional functional leads. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Regional Leadership & Strategy: Serve as the primary leader for the APAC services organization, ensuri

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are establishing a Procure-to-Pay (P2P) team in India to support our global Finance organization. As the P2P Operations Lead, you will build and lead our new P2P Shared Services function in India, overseeing the operational execution of supplier onboarding, purchase order administration, invoice processing, and governance activities while partnering with Procurement and Accounts Payable to deliver a scalable, world-class Procure-to-Pay operation. This role requires someone with deep Coupa and NetSuite experience, a strong command of P2P end-to-end process flows, and the maturity to operate independently with limited in-person oversight. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What you'll own Procurement Operations Own the end-to-end supplier onboarding process, including reviewing complete documentation and adhesion to internal policies. Maintain supplier records to ensure up-to-date supplier details and status Administer procurement workflows within Coupa and NetSuite. Manage Purchase Order (PO) lifecycle, including maintaining accurate PO billing and purchase details, monitoring open POs, and

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As a Field Engineer, Team Lead you will serve as a player-coach — guiding a team of field engineers while personally executing the most complex, mission-critical technical work yourself. Operating at the intersection of engineering and client success, you are both the technical anchor for your team and Addepar's technical vanguard in the field, translating complex business requirements into production-grade integrations, automations, and data solutions. You will be the technical expert across Addepar's full solution suite — from API integrations and automation frameworks to advanced data platforms (including our white-labeled Databricks offering, ADX) and AI-driven tooling. At the same time, you will develop your people-management skills: providing daily guidance, coordinating work allocation, and turning the vision set by leadership into reality while keeping your team aligned to our core processes. This role combines a forward-deployed delivery model with hands-on technical depth and functional leadership of a high-performing engineering team. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. Important Note: Th

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The ADM Support team handles all client inquiries related to Addepar's Alternatives Data Management (ADM) solution post-implementation. ADM Support Analysts play a critical role in supporting some of the world's most sophisticated investors, answering questions and resolving issues related to their alternative investment data on the Addepar platform. They ensure clients get the most value out of each interaction by providing accurate, timely guidance across the full scope of ADM functionality. Our ideal candidate is tenacious about tackling problems, can skillfully coordinate with internal teams, and enjoys working directly with clients in the alternative investments space. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. Important Note: The working schedule for this position is from 6:30 PM to 3:30 AM IST, US business days. What You’ll Do Identify, respond to, and resolve issues and questions raised by ADM clients, providing timely and accurate support. Work in complex alternative investment data sets to identify and resolve data and calculation discrepancies. Evaluate the criticality of client issues and

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The ADM Support team handles all client inquiries related to Addepar's Alternatives Data Management (ADM) solution post-implementation. ADM Support Analysts play a critical role in supporting some of the world's most sophisticated investors, answering questions and resolving issues related to their alternative investment data on the Addepar platform. They ensure clients get the most value out of each interaction by providing accurate, timely guidance across the full scope of ADM functionality. Our ideal candidate is tenacious about tackling problems, can skillfully coordinate with internal teams, and enjoys working directly with clients in the alternative investments space. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Identify, respond to, and resolve issues and questions raised by ADM clients, providing timely and accurate support. Work in complex alternative investment data sets to identify and resolve data and calculation discrepancies. Evaluate the criticality of client issues and collaborate with other internal ADM teams (Collections, Operations) to drive resolution. Conduct root-cause an

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. Don’t miss the rocket ship—join Prophecy and build the next data revolution. Position Summary This is a high-impact opportunity to be a senior DevOps engineer in a fast-growing startup, based in Prophecy’s India engineering center. You will own and evolve the foundations that keep our engineering org fast, secure, and cost-efficient at scale — spanning cloud cost management, security DevOps, and CI/CD and engineering operations. You will work with a team of dynamic engineers who take pride in solving complex problems, and you will have the autonomy to set direction in your areas of ownership. The Impact You Will Have Cloud cost (FinOps) Own and evolve our cloud cost optimization program across AWS, Azure, GCP, Databricks, Snowflake and Bigquery building on the programmatic monitoring and controls Analyze billing, asset-inventory, and utilization data across departments to identify wasteful spend and provide actionable insights to optimize it. Develop and maintain cost optimization strategies, roadmaps, and forecasting models Partner with engineering teams to design cost-efficient architectures without compromising scalability or reliability. Build and maintain automation for infrastructure provisioning, scaling, and cost control. Security DevOps Partner with engineering and security to drive our security-hardening program across workstreams such as identity & access governance, secrets & credential lifecycle, cloud access, and CI/CD hardening. Implement and automate guardrails: secrets management, least-privilege access, cr

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world's top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn. Position Summary This is an exceptional opportunity to be a technical leader on the team that powers the heart of Prophecy: the Runtime, our orchestration and execution service. Every data workflow , whether generated by our AI data agents or built by a human in the visual editor , is planned, scheduled, and run at enterprise scale by Runtime, directly against the customer's own platform (Databricks, Snowflake, BigQuery, and more). When a business user asks an agent a question and sees trusted results seconds later, Runtime is what made it happen. As a Staff Engineer, you will set the technical direction for this service: the distributed execution engine, the task coordinator, the multi-engine connectors, and the fast interactive previews that make the AI-native experience feel instant. You will own hard, ambiguous, high-leverage problems end-to-end , from architecture to production reliability , and raise the bar for the engineers around you. We're seeking A players to work with A players. We're a high-growth company on a once-in-a-lifetime journey to revolutionize the way data is prepared and analyzed. Be a part of it. The impact you will have Own the engine behind the product. Architect and evolve the runtime service that turns agent- and human-authored data workflows into high-performance jobs that run reliably in production and interactively during authoring. This is deep-tech at the center of the platform. Make it fast and make it scale. Design the distributed execution and task-coordination layer , schedul

Job Description Are you passionate about data analytics and helping large enterprises to leverage data to drive business success? If so, Sigmoid is seeking a dynamic and results-driven Sales Consultant to join our team. As a Presales consultant, you will play a pivotal role in engaging with prospective clients, understanding their unique challenges, and showcasing how our data analytics services can address their specific needs. Key Responsibilities Client Engagement: Build and maintain strong relationships with prospective clients by understanding their business objectives and challenges. Needs Analysis: Collaborate with clients to identify their data analytics needs and requirements and translate them into tailored solutions. Solution Presentation: Develop and deliver compelling presentations and demonstrations that showcase the value of our data analytics services in addressing client pain points. Technical Expertise: Leverage your deep understanding of data analytics technologies and methodologies to provide expert guidance to clients. Collaboration: Work closely with our Sales and Technical teams to ensure seamless transition from pre-sales to implementation. Customization: Identify opportunities for customization and optimization of ourservices to meet the unique requirements of the clients. Competitive Analysis: Stay up to date with industry trends and competitors' offerings to effectively position our services. Proposal Creation: Prepare detailed proposals, including scope, pricing, and timelines, in alignment with client needs. Knowledge Sharing: Keep the team informed about industry’s best practices, client feedback, and emerging trends. Qualifications Bachelor's degree in a related field (e.g., Business, Data Science, Computer Science) and MBA with Overall, 5-7 years of experience. Proven experience in a consulting role, preferably in data analytics. Strong understanding of data analytics technologies, tools, and methodologies. Strong exposure to Data Eng

Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks) Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder. Experience Required 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role. Microsoft Fabric: 2+ years hands-on. Azure Databricks: 4+ years hands-on. Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end. Azure is mandatory ; experience across multiple client engagements or a consulting/SI background is a plus. Core Technical Expertise Azure Platform Fabric & Databricks architecture. ADF. ADLS. Entra ID. Key Vault. Monitor/Log Analytics. Microsoft Fabric Workspace & environment strategy. Lakehouse/Warehouse. OneLake. Pipelines/Notebooks. REST APIs/CLI. Governance. Azure Databricks Workspace strategy. Unity Catalog. RBAC. Jobs/Workflows. Delta Lake. Asset Bundles. ML platform integration. DevOps & IaC Azure DevOps/GitHub CI/CD. Terraform & Bicep. Branching/release strategy. Reusable IaC modules. Security & Networking Entra ID. RBAC architecture. Private Endpoints/DNS. Key Vault integration. DataOps Standards CI/CD & test gates for pipelines. Data-quality frameworks. Observability/alerting architecture. SLAs/SLOs. Incident-management practices. FinOps guardrails. Key Responsibilities Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs. Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance. Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance. Evaluate technology options; identify architectural risks a

About Sigmoid Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best-in-class end-to-end data value chain capabilities spanning Data Science, Data Engineering, and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team-first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Role: Associate Director - Delivery About the Role You will lead delivery for large-scale Data Engineering programs, working closely with clients to architect and drive execution of modern data platforms - data pipelines, cloud migrations, lakehouse implementations, and real-time data processing solutions. You will own end-to-end delivery governance across multiple engagements, act as a senior escalation point for clients, and provide technical and delivery leadership to teams building enterprise-grade data engineering solutions. If you enjoy operating at the intersection of technical depth in Data Engineering and delivery leadership, we would like to talk to you. Required Skills & Competencies 15-18 years of experience in Project Delivery, Client Engagement, or Data Engineering Delivery Management, with a significant portion focused on Data Engineering programs. Strong hands-on exposure to Data Engineering tools and technologies, including cloud data platforms Proven experience in Analytics/Consulting/IT Services, managing complex Data Engineering project execution, architecture reviews, and governance. Exposure to US/Global clients, with experience handling client escalations. Ability to manage multiple Data Engineering project teams and pods, mentor Delivery/Engineering Managers and technical leads, and drive engineering process improveme

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You Will: Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Perform other duties as assigned You Have: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10+ years of experience in data engineering or a similar role. Enterprise SaaS software solutions with high availability and scalability Solution handling large scale structured and unstructured data from varied data sources Experience in building and maintaining data platform systems such as distributed compute,

WE'RE HIRING Senior SQL Data Engineer Azure & Snowflake Remote (WFH) Immediate Joiners only Location: Remote Employment Type: Full-Time Immediate Joiners Preferred Salary: Up to 8 LPA (PF Included) Experience: 4+ Years We are looking for a highly skilled Senior SQL Developer with strong experience in Microsoft Azure and Snowflake to design, develop and optimize enterprise data solutions. Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer, The successful candidate will have excellent SQL development skills, a strong understanding of data warehousing and data modelling, and hands-on experience building cloud-based data pipelines and analytical platforms. The role involves working closely with data architects, engineers, analysts and business stakeholders to deliver reliable, scalable and high-performing data solutions. Key Responsibilities -Design, develop and maintain complex SQL queries, stored procedures, views, functions and database objects. -Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer -Build and optimise data transformation processes for large-scale datasets. Develop data pipelines using Azure Data Factory, Azure Synapse Analytics and related Azure services. -Design and implement data solutions within Snowflake. -Develop Snowflake tables, views, stored procedures, streams, tasks, stages and file formats. -Create and maintain ETL and ELT workflows across Azure, Snowflake and source systems. -Analyse and improve the performance of SQL queries, data pipelines and warehouse workloads. Design dimensional models, including star and snowflake schemas, fact -tables and dimension tables. Implement data quality checks, validation rules, reconciliation processes and error-handling frameworks. -Support data migration and modernisation programmes from on-premises platforms to Azure and Snowflake. -Develop incremental loading, Change Data Capture and Slowly Changing Dimension solutions. -Troubleshoot da

Site Lead - Future Projects will oversee Data Centre projects from start to finish, ensure pre-construction site preparedness, coordinating cross-functional teams, ensuring regulatory compliance, managing schedules and budgets, and maintaining quality standards. Responsibilities include identifying risks, updating stakeholders, and providing leadership and mentorship to project teams. Source: Adani Group | Job ID: 51586

To manage Oracle–SAP HR data integration and resolve employee master data issues. To provide reliable HR reports and MIS for operational control, audits, and management review. Source: Adani Group | Job ID: 49273

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! As a Solutions Architect , you will be the trusted advisor helping our customers unlock the ultimate value of Couchbase. You will work directly with customer engineering teams, blending high-level architectural coaching with hands-on professional service delivery. If you love solving complex, real-world data challenges, designing cutting-edge AI-ready architectures, and guiding enterprise customers from design to production, this role is for you. What You’ll Do (Responsibilities): Lead Customer Engagements: Guide short- to medium-term on-site and remote client engagements. You will lead architecture and use case reviews, sizing, performance tuning, and deployment topology planning to get Couchbase up, running, and optimized. Solve Complex Technical Challenges: Work hand-in-hand with customers t