Data Engineering, Director

Company Description

Effortlessly steer your projects to success with PMGlide&aposs AI-powered project management automation. Our solutions automate the entire project lifecycle for seamless delivery, ensuring efficiency and effectiveness. Consult our experts to discover how AI-powered tools streamline your projects, eliminating manual hurdles and pains along the way.

Role Description

This is a full-time, hybrid role based in Bangalore with some work-from-home flexibility but requires traveling across to UK and ASIA. As the Data Engineering Director, you will lead and manage a team of engineers, oversee software development projects, and ensure successful project delivery. You will be responsible for the integration of data systems and managing the end-to-end engineering process to support the company&aposs AI-powered project management solutions.

Key Responsibilities

Data Strategy & Architecture:

• Define and execute a comprehensive data strategy aligned with business goals
• Lead the evolution of data platforms, including cloud-native architectures and real-time pipelines
• Define and execute data evolution roadmap that directly supports client-facing initiatives, such as onboarding, reporting, and analytics delivery. Keeps abreast of the latest trends and advancements in the fintech industry, data analytics, and artificial intelligence. Proactively evaluates competitive landscapes to identify opportunities and threats.
• Partner with client teams to understand pain points in data access, quality, and timelinesstranslating these into platform and process improvements.
• Oversee the architecture and operational management of data pipelines and analytics workflows using Snowflake, dbt, Airflow, and Terraform orchestration.

Data Governance & Quality

• Collaborate with data stewards and business owners to define and enforce data quality rules that meet both internal and client-facing standards

• Lead Agile project and program management efforts to ensure delivery of Program Increment (PI) objectives, managing timelines, dependencies, risks, and stakeholder communications effectively.
• Ensure robust data governance practices including stored procedures, data versioning, and data replication technologies (e.g., HVR).

Platform & Infrastructure Leadership

• Lead the evolution of data platforms to support scalable, self-service access to report/analytics-ready data for clients.
• Ensure seamless integration with client-preferred BI tools (e.g., Power BI, Tableau) and cloud environments (e.g., Snowflake)
• Collaborate with infra, framework and operations teams to ensure platform reliability and performance
• Oversee Agile project and program management efforts to ensure delivery of Program Increment (PI) objectives, managing timelines, dependencies, risks, and stakeholder communications effectively.
• Guide platform capabilities including Java-based gRPC APIs, Python scripts, and automated data pipeline integrations.
• Oversee the monitoring, alerting, and incident management solutions using PagerDuty and related tooling to ensure high availability and rapid issue resolution.

Cross-Functional Leadership

• Serve as the bridge between engineering, product, and client service teams to ensure data initiatives are aligned with evolving client expectations.
• Lead cross-functional working groups to prioritize and deliver enhancements that improve client satisfaction and operational efficiency.
• Collaborate with cross-functional teams and global stakeholders to align our outputs with business needs and regulatory compliance.

Change Management & Communication

• Looking to get Placed? Try our Placement Guarantee Plan

  Get Hired
  Drive adoption of new data capabilities across client teams through training, documentation, and stakeholder engagement.
• Communicate the value of data evolution initiatives to clients, highlighting improvements in speed, accuracy, and insight delivery.

Team Leadership & Change Management

• Lead high-performing data teams, fostering a culture of innovation and accountability.
• Champion data literacy and change management across the organization.
• Mentor and guide junior and senior team members, fostering a culture of continuous learning, innovation, and collaboration.
• Drive best practices in data security, quality, and documentation to ensure reliability and trustworthiness of deliverables

Qualifications

• 10+ years of experience in data management, analytics, or technology leadership within financial services.
• Deep understanding of financial instruments, risk analytics, and regulatory reporting.
• Proven experience with data governance tools, cloud platforms (e.g., Azure, AWS), and modern data stacks.
• Hands-on experience in managing data pipelines/workflows using Snowflake, dbt, HVR, Airflow, and Terraform orchestration
• Strong leadership, communication and stakeholder management skills, with the ability to influence at all levels especially in client-facing contexts