Senior Data Platform Engineer at Rubrik Job Board

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

0.0

Posted On

23 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Analytics Enablement, ETL, Data Transformation, SQL, Python, AI/ML Workflows, Cloud Platforms, Data Governance, Data Integration, Snowflake, Tableau, Feature Engineering, Predictive Modeling, Data Processing, DevOps, CI/CD

Industry

Software Development

Description

About the Team: Rubrik is building the world’s first cloud data management platform for data protection, search, analytics, archival and copy data management for hybrid cloud enterprises. Recover, manage, and secure your data on any platform which makes it very easy for all businesses to manage their data. Our goal is to democratize public cloud for every enterprise and provide them with the architecture to manage data at scale. With our massive undertaking, there is a lot of opportunity for personal growth and contribution to a product unlike anything built before. We are today the Fastest growing Enterprise Startup ever in the history of Silicon Valley! About the role: The Data Platform Engineer is responsible for designing and enforcing data platform architecture and modeling standards, enabling analytics, conversational analytics, and AI-driven use cases across the enterprise. The role supports platform level POCs, including data ingestion frameworks, and leverage AI capabilities to process unstructured & structured data. The Data Platform Engineer defines and governs data modeling and data management standards, enforces enterprise data governance frameworks, and partners closely with architect, data engineers, and analysts teams to support both traditional BI and emerging AI/GenAI workloads. What you'll do: Data Modeling & Analytics Enablement Develop and maintain logical, and physical data models to support enterprise analytics and AI/Gen AI use cases. Design data models that enable: BI and reporting Forecasting and predictive models Feature engineering for ML models GenAI workloads Collaborate with data engineering teams to implement data transformations, pipelines and orchestration using dbt, SQL and integrate them into DevOps workflows and CI/CD pipelines Enable and optimize analytics platforms such as Snowflake (or equivalent) and Tableau (or equivalent) for both traditional and AI-driven workloads Ensure data models and transformations adhere to enterprise governance, standards, and best practices, supporting scalable and reliable analytics. Data Integration & Processing Define ingestion and transformation patterns for batch, streaming, and near real-time data. Implement ETL/ELT processes using tools such as FiveTran, dbt, SQL, and Snowflake pipelines to ensure high quality, reliable, and scalable data flows. Enable real time and batch processing capabilities to support analytics, AI, and GenAI workloads. Collaborate with data engineers, platform architects, and analytics teams to standardize ingestion patterns, maintain metadata, and ensure governance compliance Optimize pipelines for performance, cost efficiency, and scalability, including monitoring, alerting, and automated recovery mechanisms. Platform POCs & AI-Driven Data Enablement Lead POCs on the data platform to evaluate and demonstrate emerging capabilities for analytics, AI, and GenAI workloads. Implement unstructured-to-structured data processing pipelines using AI/ML techniques to extract, transform, and enrich data for downstream consumption. Design and execute data scoring, feature generation, and enrichment processes to support predictive analytics, ML models, and GenAI applications. Leverage Snowflake Cortex and other platform tools to prototype scalable, high performance data workflows. Manage and maintain the data platform, including schema evolution, performance optimization, and platform monitoring Collaborate with platform, data engineering, and analytics teams to transition successful POCs into production ready solutions, ensuring alignment with governance, architecture, and platform standards. Experience you'll need: Bachelor’s or Master’s degree in Computer Science, Data Management, Information Systems, or related field. 8–10+ years of experience in Platform Engineering, Data Engineering and Modeling including hands on experience with enterprise scale platforms and analytics enablement Strong skills in conceptual, logical, and physical data modeling, including dimensional modeling, canonical models, and support for BI, predictive analytics, and AI/GenAI workloads. Modern data platforms & tools Snowflake or equivalent cloud warehouse dbt for data transformation and modeling Tableau or other equivalent visualization/reporting tools Advanced SQL, with experience in Python or other scripting languages for data processing and AI/ML workflows. Experience with cloud platforms (AWS, Azure, or GCP) Experience working with feature engineering, predictive modeling, or unstructured-to-structured data processing for AI/ML or GenAI use cases is a plus. Proven ability to work closely with platform architect, data engineers and analysts teams to deliver scalable, governed, and production ready data solutions Join Us in Securing the World's Data Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. Linkedin | X (formerly Twitter) | Instagram | Rubrik.com Inclusion @ Rubrik At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data. Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential. Our inclusion strategy focuses on three core areas of our business and culture: Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here. Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries. Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities. Equal Opportunity Employer/Veterans/Disabled Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. EEO IS THE LAW NOTIFICATION OF EMPLOYEE RIGHTS UNDER FEDERAL LABOR LAWS

Responsibilities

The Senior Data Platform Engineer is responsible for designing and enforcing data platform architecture and modeling standards, enabling analytics and AI-driven use cases. They will collaborate with various teams to implement data transformations and ensure adherence to enterprise governance and best practices.