Senior Manager, Data Engineering

$163,900 - $193,000/Yr

Atpco - Herndon, VA

Full-time - Senior

Herndon, VA

About the position

The Senior Manager of Data Engineering at ATPCO is responsible for delivering impactful data solutions that align with company objectives. This role involves leading the data engineering team, collaborating with product and analytics teams, and ensuring the execution of data roadmaps while fostering engineering excellence. The position emphasizes mentorship, innovation, and the establishment of robust data architectures to support advanced analytics and machine learning capabilities.

Responsibilities

• Work with Product and Analytics teams to 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 that uphold quality, consistency, and regulatory compliance.
• Mentor and lead multiple teams of data engineers and analytics professionals, fostering technical growth and a shared commitment to data quality.
• Continuously refine data engineering practices for efficiency and resilience, optimizing workflows and monitoring costs within the AWS environment.
• Foster a culture that values innovation and experimentation, empowering teams to explore new techniques in data, analytics, and AI.
• Ensure the operational health and performance of data products in cloud environments, maintaining high availability, fault tolerance, and performance optimization.
• Establish a data lake, data mesh, and advanced data modeling-first approach, creating well-structured data practices with an API-driven methodology.
• Own and lead internal data analytics platforms, collaborating with finance and operations to identify cost optimization opportunities.

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.
• 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.
• 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.

Nice-to-haves

• Proficiency in cloud-native data services (AWS, Azure, GCP) and container tools (Docker, Kubernetes).
• 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.

Benefits

• Salary Range: USD $163,900 to $193,000