Director of Data Engineering

Role: Director of Data Engineering

Experience: 15+ Years

Work Location: Hyderabad

Overview: As a Director of Data Engineering, you will be responsible for driving the technical strategy, overseeing complex data projects, and delivering high-quality solutions that support our clients business goals. This role requires a leader who is passionate about data, cloud technologies, and driving innovation in the data engineering space.

Key Responsibilities:

• Lead, mentor, and manage the Data Engineering team, fostering a culture of innovation, collaboration, and continuous learning.
• Provide leadership and management to a team of data engineers, overseeing processes, vetting designs, and mentoring team members to realize their full potential.
• Act as a subject matter expert across various digital projects.
• Collaborate with internal clients and external partners to structure and store data into unified taxonomies and link them with standard identifiers.
• Manage and scale data pipelines from internal and external data sources to support new product launches and ensure data quality across data products.
• Build and own automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance.
• Implement best practices around systems integration, security, performance, and data management.
• Drive the design, implementation, and optimization of data pipelines, architectures, and cloud-based data solutions (AWS, Azure, GCP).
• Oversee large-scale data projects from inception to completion, ensuring timely delivery and adherence to best practices in data engineering and architecture.
• Collaborate with cross-functional teams, including Data Science, Analytics, Product, and Client Services, to deliver end-to-end data solutions.
• Stay up-to-date with emerging technologies and best practices in data engineering, cloud infrastructure, and data governance.
• Establish and maintain relationships with key clients and stakeholders, ensuring satisfaction and long-term partnership success.
• Manage budgets, resource allocation, and project timelines to ensure efficient delivery of services.
• Ensure the security, scalability, and efficiency of all data solutions.

Qualifications:

• 15+ years of experience in data engineering, data architecture, or related fields, with at least 5 years in a leadership role.
• Proven experience in designing and implementing large-scale data solutions using cloud platforms such as AWS, Azure, or GCP.
• Expertise in modern data architectures, ETL/ELT processes, data warehousing, and big data technologies (e.g., Hadoop, Spark).
• Strong knowledge of SQL, Python, and/or other programming languages commonly used in data engineering.
• Experience with BI tools and platforms (e.g., Tableau, Power BI, Snowflake) is a plus.
• Strong leadership, organizational, and interpersonal skills; comfortable managing trade-offs.
• Foster a team culture of accountability, communication, and self-management.
• Proactively drive impact and engagement while bringing others along.
• Consistently attain/exceed individual and team goals.
• Ability to lead others without direct authority in a matrixed environment.
• Excellent leadership and team management skills, with a demonstrated ability to mentor and develop engineering talent.
• Strong communication and interpersonal skills with the ability to interact effectively with technical and non-technical stakeholders, including C-level executives.
• Proven ability to manage multiple complex projects simultaneously while maintaining attention to detail and meeting deadlines.

Preferred Qualifications:

• Experience working in a consulting environment or leading data engineering initiatives for multiple clients.
• Familiarity with data strategy, data governance, security practices, and regulatory requirements in the data space.
• Strong analytical and problem-solving skills, with a passion for driving continuous improvement.