Guide and lead team members using SWA talent management practices to coach, develop, and engage employees
Adhere to Company values and competencies to foster a culture of inclusion, recognition, and support of a safe work environment
Invest in leadership and self-growth through participating in continuous learning and development
Lead, support, and influence the achievement of the mission, goals and objectives of the department and organization
Participate fully in organizational processes and initiatives, i.e. performance management, interviewing, budgeting, training, etc.
Lead the resolution of organization, team and individual issues, making appropriate decision
Develop and execute strategies and processes to improve performance and the value of products and services provided
Lead cross-functional Teams to deliver solutions and services to meet enterprise needs
Provide Technical thought Leadership related to assigned functional areas
Deliver technology solutions using best practices to achieve maximum Team productivity while delivering high quality products
Stay abreast of emerging trends, processes, and solutions related to assigned responsibilities
Build strong, collaborative relationships and credibility while influencing and driving change across respective Business and Technology Teams
Work with Technology and business partners to measure financial benefits and demonstrable business value
Owns the Redshift platform strategy and roadmap, aligned to enterprise analytics, ML, and AI needs.
Provides People leadership – hiring, mentoring, and growing engineers, tech leads as well as other roles; owns performance management and career development; builds a culture centered on engineering excellence, ownership, accountability, and data quality.
Provides technical leadership in Redshift architecture, SQL performance tuning, AWS cloud services, infrastructure automation, and platform reliability, security, and governance.
Stakeholder management – translates business needs into platform capabilities, manages expectations across data consumers (analytics, ML, finance, compliance), and communicates platform value, priorities and risks to executive audiences.
Drives strategy and prioritization – roadmap planning aligned to business priorities, balancing platform stability against new feature delivery, and managing technical debt deliberately.
Champions Lakehouse architecture and the broader AWS data ecosystem (Glue, Lake Formation, Athena, S3, Step Functions).
Drives FinOps discipline and cost efficiency across AWS Redshift, and owns capacity/cost management for the Redshift platform.
Establishes and maintains observability, reliability, and an SRE-driven operating model for the Redshift platform.
Accountable for delivering a reliable, scalable, and business-ready Redshift platform through collaboration with architecture, governance, security, and engineering teams.
Drive AI-enabled transformation across the Redshift platform by identifying and implementing automation opportunities that reduce manual effort, improve operational efficiency, accelerate delivery timelines, and generate measurable cost savings.
Leads Redshift platform reliability initiatives, incident management, and cross-functional operational excellence.
May perform other job duties as directed by Employee's Leaders
Knowledge of business/Leadership principals, including planning, organizing, directing, developing, and supervising
Knowledge of personnel practices and regulations
Knowledge of software development practices, concepts, methodologies, tools and trends
Proficient knowledge of project management methodologies
Skilled in excellent partnering, negotiation and communication in order to facilitate interactions with business Customers and technology teams
Ability to provide tactical leadership for Team(s)
Ability to use appropriate motivation and influence techniques to achieve desired Team results
Ability to set and manage stakeholder expectations
Ability to deliver quality projects on time and within budget
Ability to manage projects using the organization's project management methodology
Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training
Demonstrated experience in directly or indirectly leading team(s)
Fully functioning, broad knowledge in: Business and/or Information Technology environment Leading teams and providing work direction 8-12 years relevant work-related / leadership experience AWS Redshift – Platform ownership, architecture, and roadmap accountability. Deep expertise in Amazon Redshift including Serverless, Spectrum, Data Sharing, Workload Management (WLM), Concurrency Scaling, and performance optimization. AWS Cloud – Core AWS services as S3, IAM Identity Center, Athena, Lake Formation, and Lakehouse architecture patterns. Lakehouse Architecture – 3–5 years – AWS core services and Lakehouse architecture patterns Observability / SRE – Reliability and SRE-oriented thought process for the Redshift platform FinOps / Cost Optimization – Contract management and FinOps practices for the platform SQL – Strong expertise in query optimization, workload management, and performance tuning within large-scale analytics platforms Security & Governance – IAM, encryption, access controls, Lake Formation permissions, Identity Centre, and compliance-oriented platform management Python - Working knowledge for platform automation, observability, and operational tooling Infrastructure Automation – Infrastructure as Code (Terraform), CI/CD pipelines, and platform automation. Stakeholder Management – 5 years – translating business needs into platform capabilities and executive communication of platform value/risk
Business and/or Information Technology environment
Leading teams and providing work direction
8-12 years relevant work-related / leadership experience
AWS Redshift – Platform ownership, architecture, and roadmap accountability. Deep expertise in Amazon Redshift including Serverless, Spectrum, Data Sharing, Workload Management (WLM), Concurrency Scaling, and performance optimization.
AWS Cloud – Core AWS services as S3, IAM Identity Center, Athena, Lake Formation, and Lakehouse architecture patterns.
Lakehouse Architecture – 3–5 years – AWS core services and Lakehouse architecture patterns
Observability / SRE – Reliability and SRE-oriented thought process for the Redshift platform
FinOps / Cost Optimization – Contract management and FinOps practices for the platform
SQL – Strong expertise in query optimization, workload management, and performance tuning within large-scale analytics platforms
Security & Governance – IAM, encryption, access controls, Lake Formation permissions, Identity Centre, and compliance-oriented platform management
Python - Working knowledge for platform automation, observability, and operational tooling
Infrastructure Automation – Infrastructure as Code (Terraform), CI/CD pipelines, and platform automation.
Stakeholder Management – 5 years – translating business needs into platform capabilities and executive communication of platform value/risk
Preferred: Data Governance – Semantic layer, metadata management, and business glossary experience Metadata / Semantic Layer / Business Glossary – Supporting enterprise data governance initiatives ServiceNow Change Management – Enterprise change management processes Agile / SAFe – Enterprise adoption strategy and Agile delivery frameworks Vendor & Contract Management – 3+ years – cross-continental engineering management and vendor oversight Enterprise Data Platforms – Exposure to modern analytics and enterprise data platforms Incident Management – Cross-team collaboration and incident response leadership Airline / Travel Industry Experience – Large enterprise IT exposure
Data Governance – Semantic layer, metadata management, and business glossary experience
Metadata / Semantic Layer / Business Glossary – Supporting enterprise data governance initiatives
ServiceNow Change Management – Enterprise change management processes
Agile / SAFe – Enterprise adoption strategy and Agile delivery frameworks
Vendor & Contract Management – 3+ years – cross-continental engineering management and vendor oversight
Enterprise Data Platforms – Exposure to modern analytics and enterprise data platforms
Incident Management – Cross-team collaboration and incident response leadership
Airline / Travel Industry Experience – Large enterprise IT exposure
Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information
Ability to work extended hours as needed
Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply.
