Director (R-18372)

Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com / careers .

Director – Data Engineering (Hyderabad)

We are seeking a visionary and hands-on Director of Data Engineering to lead our data engineering function from Hyderabad. This leadership role is pivotal in shaping our enterprise data strategy, driving platform innovation, and delivering scalable data solutions. You will be responsible for building and managing high-performing teams, collaborating with cross-functional stakeholders, and ensuring the delivery of robust, secure, and governed data platforms.

The ideal candidate will bring deep expertise in data engineering domains such as ingestion, mastering, data mapping, data products, observability, governance, and security, along with a strong grasp of end-to-end platform development including UI, APIs, orchestration, and data processing.

Key Responsibilities

• Leadership & Strategy : Define and drive the data engineering vision, strategy, and roadmap aligned with business goals. Lead and mentor a team of data engineers, architects, and analysts across multiple projects. Foster a culture of innovation, accountability, and continuous improvement.
• Platform Development : Architect and oversee the development of scalable data platforms using modern tech stacks. Ensure seamless integration across UI, APIs, orchestration layers, and data processing pipelines.
• Data Engineering Excellence : Own and optimize data ingestion, mastering, mapping, and transformation processes. Drive the creation and management of reusable data products and services.
• Governance & Security : Implement robust data governance frameworks ensuring compliance and data quality. Champion data security best practices across the platform.
• Operational Excellence : Establish data observability practices for proactive monitoring and issue resolution. Collaborate with DevOps and SRE teams to ensure platform reliability and scalability.
• Stakeholder Management : Partner with business, product, and technology leaders to align data initiatives with strategic priorities. Communicate effectively with executive leadership, translating technical concepts into business value.

Key Requirements

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Skills Required

Airflow, Apache Spark, Data Modeling, FastAPI, Data Architecture, Python, Etl