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Travelex India
Data Engineering Manager
Travelex India
Mumbai•On-site•3 hours ago
Job description
Overview
This role combines technical leadership, people management, architecture oversight, and delivery ownership.
Responsibilities
- Lead, mentor, and grow a team of data engineers, fostering a culture of collaboration, ownership, learning, and engineering excellence.
- Define and drive the technical roadmap for data engineering in alignment with business and technology strategies.
- Oversee the design, development, and deployment of scalable data pipelines, transformation frameworks, and modern data platforms.
- Collaborate with business stakeholders, analysts, architects, and product teams to translate business requirements into robust data solutions.
- Establish and enforce engineering standards, coding practices, CI/CD processes, testing approaches, and operational best practices.
- Provide architectural guidance across data warehousing, lakehouse design, Databricks-based platforms, streaming, APIs, and real-time data integration.
- Ensure solutions are secure, scalable, reliable, cost-efficient, and aligned with governance standards.
- Drive optimisation initiatives for performance, scalability, observability, and operational efficiency across cloud and Databricks environments.
- Lead technical discussions, solution reviews, estimations, prioritisation, and sprint planning activities.
- Support the adoption of cloud-native technologies, automation, Infrastructure-as-Code, and modern DevOps practices.
- Build strong partnerships with data analysts, data scientists, and business teams to enable self-service analytics and reusable data assets.
- Define monitoring, alerting, and incident management practices for critical data services and pipelines.
- Manage delivery timelines, risks, dependencies, and stakeholder communication across multiple initiatives.
- Encourage innovation and continuous improvement through experimentation, knowledge sharing, and engineering best practices.
- Support hiring activities, capability building, and succession planning within the team.
- Significant experience leading and managing data engineering teams in cloud-based environments.
- Strong hands-on experience with AWS data services focused on pipelines, transformation, storage, streaming, and orchestration.
- Strong experience working with Databricks, including Delta Lake, notebooks, workflows, cluster management, and optimisation of Spark-based data processing workloads.
- Excellent understanding of modern data engineering practices using technologies such as SQL, Python, DBT, Airflow, Spark, Databricks, or similar frameworks.
Qualifications
- Strong understanding of service-oriented and event-driven architectures, including APIs, streams, and webhooks.
- Strong knowledge of data governance, security, lineage, cataloguing, and data quality frameworks.
- Proven ability to lead architecture discussions, technical design reviews, and engineering decision-making.
- Strong stakeholder management and communication skills, with the ability to simplify complex technical concepts for non-technical audiences.
- Demonstrated ability to coach, mentor, and develop engineering talent.
- A passion for automation, continuous improvement, and building scalable engineering practices.
- Strong analytical, problem-solving, and decision-making capabilities.
- Curiosity to understand the business, customer needs, and operational challenges.
- Your own unique leadership and engineering style that contributes to a diverse and innovative team culture.