Data Platform Product Manager

BigRio; India; Remote; INR 1,500,000 - 3,000,000; Full time

Job summary

BigRio is seeking a Data Platform Product Manager to own the strategy, roadmap, and lifecycle of its enterprise data platforms and data integration capabilities across ETL/ELT patterns.

You will collaborate with Architecture, Data Engineering, Cloud Engineering, Security, and Finance to ensure platforms are scalable, secure, and cost-effective while aligning to enterprise priorities in a regulated environment. Offshore/nearshore with EST overlap is expected.

Qualifications

• Bachelor’s degree or equivalent in a related field.
• 3-5 years product management or ownership in data/tech platforms.
• Translate business needs into a data platform roadmap and backlog.
• Fluent with cloud data warehousing and ELT/ETL.
• Ability to manage governance, cost optimization, and security.

Responsibilities

• Own the enterprise data platform roadmap and backlog.
• Define platform standards, reference architectures, and operational practices.
• Partner with Finance for budget forecasts and 3-5 year planning.
• Drive platform adoption through docs and onboarding for data producers and consumers.
• Define success metrics and monitor platform health.

Skills

Product management

Data analytics

Stakeholder comms

Cloud platforms

ELT/ETL

SQL

Cost optimization

Governance

Agile

Roadmap planning

Budgeting

Education

Bachelor’s degree or equivalent

Tools

Snowflake

Azure Data Lake

Databricks

SQL Server

PostgreSQL

Oracle

Job description

Location: Offshore or Nearshore (remote)

Type of Role: Contract (Staff Augmentation)

Time Zone: Must overlap with Eastern Time (EST) working hours

Overview

An organization is seeking a Data Platform Product Manager to own the strategy, roadmap, and lifecycle of its enterprise data platforms and data integration capabilities across ETL and ELT patterns. The role drives the evolution, adoption, and value of cloud and relational data platforms, including Snowflake, Azure Data Lake, SQL Server, PostgreSQL, and Oracle.

The Product Manager will work closely with Architecture, Data Engineering, Data & Analytics, Cloud Engineering, Security, and Finance to keep these platforms scalable, reliable, secure, cost-effective, and aligned to enterprise priorities. The work is done in a regulated, high-sensitivity data environment. Offshore and nearshore candidates are welcome, provided they can work with meaningful overlap with EST hours.

Key Responsibilities

• Own the enterprise data platform roadmap, sequencing initiatives by business priority, technical readiness, and value delivery.
• Provide end-to-end product ownership for data storage, processing, and integration platforms, including feature prioritization, backlog management, and lifecycle decisions.
• Partner with Architecture and Engineering to define platform standards, reference architectures, design patterns, and operational practices.
• Work with Finance on the annual budget forecast, with a view toward a 3-5 year budget cycle.
• Manage cost models, usage transparency, and capacity planning, optimizing platform spend with Finance and Cloud Engineering.
• Work with Security, Risk, and Compliance to embed security, privacy, and governance requirements into platform design and operations.
• Drive platform adoption and enablement through better usability, documentation, and onboarding for data producers and consumers.
• Define success metrics (reliability, performance, cost efficiency, adoption, satisfaction) and use them to guide prioritization, while monitoring emerging data platform trends.

Required Experience & Skills

• Bachelor’s degree in Computer Science, Information Systems, Data/Analytics, Engineering, Business, or a related field, or equivalent experience.
• 3-5 years of experience in product management or product ownership within technology, data, analytics, or platform teams.
• Proven experience translating business needs into a data platform roadmap and backlog, covering cloud data platforms, ELT/ETL, reliability, governance, and cost optimization.
• Technical fluency in cloud data warehousing/lakehouse, ELT/ETL, orchestration, metadata, observability, and SLAs/SLOs.
• Strong understanding of the product management lifecycle for technical platforms, from discovery and business case through delivery and retirement.
• Strong analytical skills, including using data to define KPIs and measure adoption and platform health.
• Strong business acumen, with the ability to communicate tradeoffs and prioritize using value, risk, and cost inputs.
• Excellent written and verbal communication, including product documentation such as vision, roadmaps, requirements, and release notes.
• Strong organizational and time management skills, with a bias toward execution and the ability to remove blockers.
• Ability to manage governance and operational expectations for shared platforms, including risk management, vendor coordination, and incident prioritization.
• Ability to work with overlap with EST hours for stakeholder meetings and collaboration.

Nice to Have

• Experience with Agile product development (Scrum/Kanban).
• Hands-on familiarity with Snowflake, Azure Data Lake/ADLS, Fabric, Databricks, SQL Server, PostgreSQL, or Oracle.
• Working knowledge of SQL, data modeling, ELT/ETL and orchestration tooling, and CI/CD for data.
• Experience with data governance, security, and privacy controls in regulated environments.
• Experience with cloud cost management/FinOps, including chargeback/showback models.
• Experience using AI tools to support platform analysis, documentation, and product workflows.

Equal Opportunity Statement:

BigRio is an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment.