Lead Modeler - SAP HANA [T500-21936]

About Delta Tech Hub: Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.

Job Description Primary Functions: Gather, analyze, and transform large raw data sets into performance reports with actionable insights using data modeling best practices in SAP HANA and Redshift. Develop and maintain efficient data models, leveraging expertise in ECC6 subject areas (e.g., Financial Accounting, Controlling, Materials Management, Sales and Distribution, Production Planning) replicated via SLT. Apply best practices in performance tuning, view materialization, stored procedure development, comprehensive documentation, complex modeling, and data management, including table partitioning and Native Storage Extension (NSE) to optimize memory usage. Collaborate with product owners and AWS Data Engineering teams to integrate Glue-based data ingestion and manage CDC for materializing HANA view changes to AWS. Validate and optimize complex SQL queries. Conduct thorough peer reviews of HANA modelers’ work to ensure quality standards. Provide thought leadership by understanding business context and offering strategic suggestions to functional teams and business users throughout the development cycle.

What You Need to Succeed (Minimum Qualifications): 7+ years of relevant experience. Bachelor’s degree in data science, statistics, mathematics, computer science, or engineering. Deep expertise in building HANA calculated views in a pure analytics environment (not S4 on HANA). Strong knowledge of ECC6 subject areas, including Financial Accounting (FI), Controlling (CO), Materials Management (MM), Sales and Distribution (SD), and Production Planning (PP), with SLT replication experience. Proven ability to implement best practices in performance tuning, view materialization, stored procedures, documentation, complex modeling, and data management, including table partitioning and NSE for memory optimization. Understanding of common, landing, transformation, and reporting layers of calculated views. Background in finance to align model development with business goals. Proficiency with table functions, CTE, stored procedures, table creation, and triggers. Solution-oriented mindset with a track record of meeting deadlines in fast-paced settings. Creative problem-solving skills to translate data into actionable insights. Commitment to a people-and-process-first approach in technology projects. Ability to understand business context and deliver thought leadership with actionable suggestions for functional teams and business users during development.

Behavioral Competencies: Lead initiatives with high accountability, create a collaborative environment with a solution-based approach. Serve as a trusted advisor and mentor for the team offering technical advice. Ability to communicate with precision, engaging team and stakeholders to build trust and reliable working relationships across cross-functional teams and geographies enabling organizational alignment. Ability to set priorities with the team by understanding interdependence, inspiring team members with consistent focus, quality output, and timelines. Constantly keep oneself updated on current technology & trends to drive innovative decisions through piloting forward-thinking approaches to complex problems in one’s own area of work. Inquisitive to understand customer priorities and business challenges while creating value for technical solutions.

What Will Give You a Competitive Edge (Preferred Qualifications): Working knowledge of statistical/machine learning tools (e.g., R, TensorFlow) preferred. Familiarity with "Big Data" solutions like Hadoop, NoSQL, or MapReduce, preferred. Experience with AWS Glue, CDC processes, and integrating HANA with cloud platforms. Proven ability to lead peer reviews and foster team collaboration. Self-motivated with a focus on delivering high-quality solutions for stakeholders. Resourceful in sourcing data and tools to meet project needs.