Senior Manager, Data Engineering

4 days ago

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Fare collection and distribution • Travel solutions • Airline revenue accounting • Airline fare management • Airline Revenue Management

201 - 500

Description

• Deliver impactful data solutions that align with company objectives. • Collaborate with product, and analytics teams, focused on data-driven impact and scalability. • Lead the data engineering team, ensuring seamless execution of data roadmaps and fostering engineering excellence. • Mentor managers, team leads, and architects, empowering them to build high-performing teams dedicated to creating valuable data products. • Define and implement a strategic data roadmap that includes advanced analytics and AI/ML capabilities. • Champion data-mesh principles to enable decentralized ownership and accessibility across teams. • Design and oversee scalable, robust data architectures and ETL pipelines, leveraging AWS services like Redshift, Glue, and Lambda. • Partner closely with data scientists and analytics teams to create data infrastructures that support real-time analytics and ML model deployment. • Drive initiatives to enhance data security, stability, and governance, establishing frameworks. • Mentor and lead multiple teams of data engineers and analytics professionals, fostering technical growth and a shared commitment to data quality. • Encourage innovative approaches to data automation and performance tuning.

Requirements

• 7+ years of experience in data engineering roles focused on high-volume, complex data applications, with 5+ years in people leadership. • Proven ability to build and manage high-quality data products and infrastructure, with experience leading cross-functional teams in complex data environments. • Technical expertise in a wide range of AWS services, including Redshift, Glue, S3, Lambda, EMR, Kinesis, EC2, API Gateway, serverless technologies, and container services such as ECS and EKS, integrated with data orchestration tools. • Proficiency in Python, SQL, or Scala, plus experience with ML frameworks. • Experience with database management (RDBMS, NoSQL, graph databases) and big data frameworks, including Apache Spark and Hadoop, showcasing your ability to design and optimize complex data architectures and process large-scale data efficiently. • Strong communication skills to align cross-functional teams and convey technical concepts to technical and non-technical stakeholders. • Familiarity with airline or travel industry data needs is advantageous. • Track record of fostering inclusive environments that encourage innovation, teamwork, and diverse perspectives. • Other Preferred Qualifications: • Proficiency in cloud-native data services (AWS, Azure, GCP) and container tools (Docker, Kubernetes) for scalable data infrastructure. • Familiarity with cloud security best practices, ensuring the secure deployment and maintenance of data solutions. • Commitment to advancing data engineering and analytics practices, ensuring cutting-edge solutions.