Data Platform Engineer - Cybersecurity and Analytics

IN_Manager_Data Analyst_Data and Analytics_Advisory_Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job description & summary:

• About the role

As the Staff Data Platform Engineer in the Cyber Data Platform team, you will be key in designing, developing, and deploying a scalable data platform that empowers users to create advanced analytics, machine learning, and GenAI solutions to enhance our security defences. You will lead architectural decisions, guide technical direction, and mentor the engineering team to deliver high quality data services.

Responsiblities:

Technical Leadership: Take in charge of the design, development and delivery of cyber data platform solutions and provide technical guidance and mentorship across all teams of cyber data platform.

 Data Architecture: Design, build and management of realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities.

Coding: Contribute to raising the quality bar of the team's codebase by producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code

 Data Security and Compliance: Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations.

Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components.

You will need

Proven experience in leading the teams to deliver resilient systems and providing technical guidance for optimal product solutions.

Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery, with the goal of delivering a self-service data platform for users.

Proficient in Python and SQL, with a solid grasp of architectural patterns, coding standards, code reviews, version control, and CI/CD practices.

Expertise in ETL and ELT frameworks for large scale realtime and batch data processing, with hands-on experience in Kafka, Flink, Airflow and dbt as well as containerisation technologies like Docker and Kubernetes.

Ability to provide clear input, guide, opportunities to help engineers develop and advance.

Knowledge of cybersecurity principles and practices.

Mandatory Skill sets:

Databricks on Azure or GCP BigQuery,Python, Devops, CICD

Preferred skill sets:

Gen AI

Years of Experience Required:

6-9 Yrs

Education Qualification

B.E,B.Tech,M.E,MCA,M.Tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Azure Devops

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 15, 2026

Experience Level

Mid Level