12 Data Platform Jobs

We are looking for an experienced Finance Data Hub Platform Product Manager to own the strategic direction, development, and management of the core data platform that underpins our Finance Data Hub. This role is focused on ensuring the platform is scalable, reliable, secure, and optimized to support data ingestion, transformation, and access across the finance organization. As the Platform Product Manager, you will work closely with engineering, architecture, governance, and infrastructure teams to define the technical roadmap, prioritize platform enhancements, and ensure seamless integration with data and UI product streams. Your focus will be on enabling data products and services by ensuring the platform's core capabilities meet evolving business needs. Responsibilities Platform Strategy & Vision: Define and own the roadmap for the Finance Data Hub platform, ensuring it aligns with business objectives and supports broader data product initiatives. Technical Requirements: Collaborate with architects, data engineers, and governance teams to define and prioritise platform capabilities, including scalability, security, resilience, and data lineage. Integration Management: Ensure the platform seamlessly integrates with data streams and serves UI products, enabling efficient data ingestion, transformation, storage, and consumption. Infrastructure Coordination: Work closely with infrastructure and DevOps teams to ensure platform performance, cost optimisation, and alignment with enterprise architecture standards. Governance & Compliance: Partner with data governance and security teams to ensure the platform adheres to data management standards, privacy regulations, and security protocols. Backlog Management: Own and prioritise the platform development backlog, balancing technical needs with business priorities, and ensuring timely delivery of enhancements. Agile Leadership: Support and often lead agile ceremonies, write clear user stories focused on platform capabilities, and facilitate collaborative sessions with technical teams. Stakeholder Communication: Provide clear updates on platform progress, challenges, and dependencies to stakeholders, ensuring alignment across product and engineering teams. Continuous Improvement: Regularly assess platform performance, identify areas for optimization, and champion initiatives that enhance reliability, scalability, and efficiency. Risk Management: Identify and mitigate risks related to platform stability, security, and data integrity. Skills Proven 10+ years experience as a Product Manager focused on data platforms, infrastructure, or similar technical products. Strong understanding of data platforms and infrastructure, including data ingestion, processing, storage, and access within modern data ecosystems. Experience with cloud data platforms (e.g., Azure, AWS, GCP) and knowledge of data lake architectures. Understanding of data governance, security, and compliance best practices. Strong stakeholder management skills, particularly with technical teams (engineering, architecture, security). Experience managing product backlogs and roadmaps in an Agile environment. Ability to balance technical depth with business acumen to drive effective decision-making. Nice to have Experience with financial systems and data sources, such as HFM, Fusion, or other ERPs Knowledge of data orchestration and integration tools (e.g., Apache Airflow, Azure Data Factory). Experience with transitioning platforms from legacy technologies (e.g., Teradata) to modern solutions. Familiarity with cost optimization strategies for cloud platforms.

Hiring freshers for a remote (3 months renewable) contract role. Permanent after 1 year. Setting up virtual labs, writing tech documentation, and supporting website performance. Laptop & internet are must. Opportunity to learn cloud and data tools.

If interested apply here - https://forms.gle/sBcZaUXpkttdrTtH9 Key Responsibilities Work with Product Owners and various stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions and design the scale out architecture for data platform to meet the requirements of the proposed solution. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. Play an active role in leading team meetings and workshops with clients. Help the Data Engineering team produce high-quality code that allows us to put solutions into production Create and own the technical product backlogs for data projects, help the team to close the backlogs in right time. Help us to shape the next generation of our products. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Develop custom data models and algorithms to apply to data set Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Responsible to understand the client requirement and architect robust data platform on multiple cloud technologies. Responsible for creating reusable and scalable data pipelines Work with DE/DA/ETL/QA/Application and various other teams to remove roadblocks Align data projects with organizational goals. Skills & Qualifications Were looking for someone with 4-7 years of experience having worked through large data engineering porjects Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field. Strong problem-solving skills with an emphasis on product development Domain - Big Data, Data Platform, Distributed Systems Coding - any language (Java/scala/python) (most import requirement) with strong knowledge of Spark Ingestion skills - one of apache storm, flink, spark Streaming skills - one of kafka, kinesis, oplogs, binlogs, debizium Database skills – HDFS, Delta Lake/Iceberg, Lakehouse If interested apply here - https://forms.gle/sBcZaUXpkttdrTtH9

JD: • Good experience in Apache Iceberg, Apache Spark, Trino • Proficiency in SQL and data modeling • Experience with open Data Lakehouse using Apache Iceberg • Experience with Data Lakehouse architecture with Apache Iceberg and Trino

Dear Candidate, We are hiring a Data Platform Engineer to build scalable infrastructure for data ingestion, processing, and analysis. Key Responsibilities: Architect distributed data systems. Enable data discoverability and quality. Develop data tooling and platform APIs. Required Skills & Qualifications: Experience with Spark, Kafka, and Delta Lake. Proficiency in Python, Scala, or Java. Familiar with cloud-based data platforms. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Hands-on experience with design, development, and support of data pipelines • Strong SQL programming skills (Joins, sub queries, queries with analytical functions, stored procedures, functions etc.) • Hands-on experience using statistical methods for data analysis • Experience with data platform and visualization technologies such as Google PLX dashboards, Data Studio, Tableau, Pandas, Qlik Sense, Splunk, Humio, Grafana • Experience in Web Development like HTML, CSS, jQuery, Bootstrap • Experience in Machine Learning Packages like Scikit-Learn, NumPy, SciPy, Pandas, NLTK, BeautifulSoup, Matplotlib, Statsmodels. • Strong design and development skills with meticulous attention to detail. • Familiarity with Agile Software Development practices and working in an agile environment • Strong analytical, troubleshooting and organizational skills • Ability to analyse and troubleshoot complex issues, and proficiency in multitasking • Ability to navigate ambiguity is great • BS degree in Computer Science, Math, Statistics or equivalent academic credentials .

Data Engineer Location - Bangalore We are looking for a skilled and motivated Data Engineer II to join our growing data team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support data-driven decision making across the organization. You will work closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and performance of our data systems. The ideal candidate has a strong foundation in data engineering principles, hands-on experience with modern data technologies, and a passion for solving complex data challenges. Key Responsibilities Work with Product Owners and various stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions and design the scale out architecture for data platform to meet the requirements of the proposed solution. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. Play an active role in leading team meetings and workshops with clients. Help the Data Engineering team produce high-quality code that allows us to put solutions into production • Create and own the technical product backlogs for data projects, help the team to close the backlogs in right time. Help us to shape the next generation of our products. Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Develop custom data models and algorithms to apply to data set Coordinate with different functional teams to implement models and monitor outcomes • Develop processes and tools to monitor and analyze model performance and data accuracy • Responsible to understand the client requirement and architect robust data platform on multiple cloud technologies. Responsible for creating reusable and scalable data pipelines Work with DE/DA/ETL/QA/Application and various other teams to remove roadblocks • Align data projects with organizational goals. Skills & Qualifications Were looking for someone with 4-7 years of experience having worked through large data engineering projects Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Strong problem-solving skills with an emphasis on product development Domain - Big Data, Data Platform, Distributed Systems Coding - any language (Java/scala/python) (most import requirement) with strong knowledge of Spark Ingestion skills - one of apache storm, flink, spark Streaming skills - one of kafka, kinesis, oplogs, binlogs, debizium Database skills – HDFS, Delta Lake/Iceberg, Lakehouse

Exp:6- 8 yrs only Location: Pune Send resume to: mounika-d@hcl.software Please provide below details: Name Exp: CTC: ECTC: Availability for Face-to-Face on april 12th: Yes/no Current location: JD: The Data Platform & Modeling Engineer is responsible for both designing robust data models (including Data Vault) and building the underlying data infrastructure. This role bridges the gap between strategic data architecture and operational data engineering, ensuring efficient, scalable, and maintainable data systems that support business intelligence and analytics. Develop detailed logical and physical data models, including Data Vault implementations for historical tracking and agile integration. Ensure data platforms are optimized for performance, scalability, and reliability, leveraging cloud-based data warehouses. Integrate data from diverse source systems, ensuring smooth data flow and transformation between operational systems and analytical platforms. Work closely with Data Architects, Analysts, and IT teams to align data strategy with business needs. Ability to analyze complex data requirements and design effective solutions Ability to work in a cross-functional team environment and manage multiple priorities. Experience and expertise in data modeling (including Data Vault 2.0) and SQL, with hands-on experience in designing and optimizing data models. Experience with cloud platforms (AWS, GCP, or Azure) and cloud data warehouses such as Snowflake, BigQuery, or Redshift

We are seeking an experienced and versatile Techno-Functional Project Manager who will own the end-to-end delivery of projects, act as the customer interface, drive solutioning, and efficiently manage cross-functional teams and resources. This is a techno-functional leadership role that requires strong technical awareness, functional understanding, project management discipline, and stakeholder management skills. You will play a key role in ensuring successful project delivery, effective resource allocation, and high levels of customer satisfaction. Key Responsibilities Project Management & Delivery Lead and manage the entire project lifecycle, including planning, execution, monitoring, and closure. Develop and maintain detailed project plans, resource plans, budgets, and risk registers. Ensure timely and quality delivery of projects within defined scope, time, and budget. Drive project governance, conduct periodic reviews, and maintain project documentation. Customer Engagement & Stakeholder Management Serve as the single point of contact for clients throughout the project lifecycle. Facilitate requirement gathering workshops, solution discussions, and project reviews with clients. Manage customer expectations, handle escalations, and ensure continuous client satisfaction. Build trusted relationships with client stakeholders and internal teams. Solutioning & Functional Responsibilities Collaborate with technical teams, architects, and business stakeholders to design solutions aligned with client requirements. Prepare functional and technical documentation, BRDs, SOWs, and solution proposals. Participate in RFP/RFI responses, solution presentations, and estimation exercises. Ensure alignment of solution delivery with business objectives. Resource Management & Allocation Plan, allocate, and optimize resources across multiple projects. Monitor resource utilization, workload distribution, and team capacity. Work with functional managers to ensure the right skill sets are available for project execution. Identify and address resource constraints, hiring needs, or skill gaps proactively. Maintain visibility of team performance, track resource productivity, and drive accountability. Cross-Functional Collaboration Facilitate effective collaboration across development, QA, data engineering, infrastructure, and business teams. Remove delivery roadblocks and ensure seamless coordination between internal and external stakeholders. Foster a culture of ownership, transparency, and continuous improvement. Governance & Compliance Ensure adherence to project governance frameworks, delivery methodologies, and compliance standards. Maintain accurate project records, reports, and audit documentation. Track project KPIs and present status reports to leadership and customers. Key Skills & Competencies Strong knowledge of Project Management methodologies (Agile, Scrum, Waterfall) Experience in Resource Planning, Allocation, and Management Techno-functional knowledge of SaaS, Data Platforms, AI/ML Solutions, Enterprise Applications, or Digital Platforms Proven track record of managing multi-stakeholder, cross-functional teams Exceptional skills in Customer Communication, Negotiation, and Stakeholder Management Hands-on experience with project management tools like JIRA, MS Project, Confluence, or similar Strong problem-solving, conflict resolution, and decision-making abilities Qualifications Bachelors Degree in Engineering / Computer Science / IT PMP / PRINCE2 / Agile Certification (preferred) 6-8 years of total experience with at least 5 years in Project & Delivery Management roles Proven experience in Resource Allocation, Project Governance, and Customer Management Preferred Attributes Strong ownership & leadership mindset Excellent communication & stakeholder engagement skills Proactive, collaborative, and solution-driven Ability to thrive in dynamic, fast-paced environments

Position Overview We are seeking a dynamic and experienced Enterprise Solution Architect to lead the design and implementation of innovative solutions that align with our organization's strategic objectives. The Enterprise Solution Architect will play a key role in defining the architecture vision+ establishing technical standards+ and driving the adoption of best practices across the enterprise. The ideal candidate will have a deep understanding of enterprise architecture principles+ business processes+ and technology trends+ with a focus on delivering scalable+ flexible+ and secure solution Responsibilities • Drive client conversations+ solutions and build strong relationships with client+ acting as a trusted advisor and technical expert. Experienced in laying down Architectural roadmap+ guidelines and High Level Design covering E2E lifecycle of data value chain from ingestion+ integration+ consumption (visualization+ AI capabilities)+ data governance and non-functionals (incl. data security) Experienced in delivering large scale data platform implementations for Telecom clients. Must have Telecom domain understanding. Experienced in implementation of data applications and platform on GCP. Execution of a comprehensive data migration strategy for our telecom client+ involving multiple source systems to GCP. Deep dive into client requirements to understand their data needs and challenges. Proactively propose solutions that leverage GCP's capabilities or integrate with external tools for optimal results. Spearhead solution calls with the client+ translating complex data architecture and engineering concepts into clear+ actionable plans for data engineers. Demonstrate flexibility and adaptability to accommodate evolving needs. Develop a robust data model for the telecom client+ ensuring data is organized+ consistent+ and readily available for analysis. Leverage your expertise in Data+ AI+ and ML to create a future-proof blueprint for the client's data landscape+ enabling advanced analytics and insights generation. Develop architectural principles+ standards+ and guidelines to ensure consistency+ interoperability+ and scalability across systems and applications. Lead the design and implementation of end-to-end solutions that leverage emerging technologies and industry best practices to address business challenges and opportunities. Conduct architectural reviews and assessments to validate design decisions+ identify risks+ and recommend mitigation strategies. Collaborate with vendors+ partners+ and external consultants to evaluate and select technology solutions that meet business requirements and align with enterprise architecture standards. Drive the adoption of cloud computing+ microservices architecture+ API management+ and other emerging technologies to enable digital transformation and innovation. Communicate the enterprise architecture vision+ principles+ and roadmap to stakeholders at all levels of the organization+ and advocate for architectural decisions and investments. Qualifications • Bachelor's degree in Computer Science+ Engineering+ or a related field. Total experience of 18+ years on data analytics implementations. Minimum 10+ years of extensive experience as a Principal Solution Architect or similar senior role. Proven success in leading large-scale data migrations+ particularly to GCP. In-depth knowledge of data architecture principles and best practices. Strong understanding of data modeling techniques and the ability to create efficient data models. Experience working with GCP and its various data management services (e.g.+ BigQuery+ Cloud Storage+ Dataflow+ dbt). Experience with at least one programming language commonly used in data processing (e.g.+ Python+ Java). A demonstrable understanding of Data Science+ Artificial Intelligence+ and Machine Learning concepts.

Develop and maintain full-stack applications for data platforms. Work on backend and frontend technologies, ensuring data accuracy, system performance, and scalability.

Role: Enterprise Architect / Technology Advisors Required Technical Skill Set: Digital Transformation, Architecture Assessment & Definition Experience: 15 to 20 years Location: PAN INDIA Desired Competencies (Technical/Behavioral Competency): Must-Have: 1. Digital Architecture strong experience / knowledge on Digital architecture (Cloud native, Data Platforms etc), Industry 4.0 architectures / IOT, hybrid landscapes architectures, composable architectures 2. IT Architecture & Transformation - Understands organization's current and future technology needs. Can plan, coordinate, and implement technological improvements. Can create architecture principles and standards. Ability to define the architectures for Mid-large enterprise manufacturing customers 3. Distributed Systems Design - Understands in-depth Distributed Systems Design. Can guide others in evaluating differing design options 4. Research And Analysis Processes - In-depth understanding of the process of research and analysis. Can identify the shortcomings of optional solutions. Good-to-Have: 1. Understanding of Plants, Supply chain and Enterprise systems 2. Technology and architecture thought leadership 3. Strong Communication and Proactiveness Responsibility of / Expectations from the Role: Responsible for the assessment and definition of technology direction which aligns with IOT Connected strategy in order to meet complex customer requirements. Anchor the transformation program from Business requirement oversight, Technology strategy and architecture and customer stakeholder aligned Key Stakeholder mapping in business and IT Responsible for linkage between enterprises planning and architecture current and future state visions via technology road maps Understanding the market and customer directions and develop internal strategies for specific areas / technologies to be planned in future Work with other specialists' teams and anchor key initiatives for units such as Digital Twin, industry specific Reference Architectures etc.