Tech Lead Data Engineer - Redshift

Reposted 4 Days Ago
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F L Office, Choudwar, Cuttack, Odisha, IND
In-Office
Expert/Leader
Aerospace
The Role
Leads the enterprise Redshift data platform, setting technical direction and building scalable batch and real-time data pipelines. Designs AWS-based data infrastructure, automates ingestion and transformation, optimizes performance and costs, and improves reliability, security, and disaster recovery. Processes high-volume data for analytics, AI, and business decision-making while mentoring engineers, guiding complex solutions, partnering with stakeholders, and resolving data infrastructure issues.
Summary Generated by Built In

Department:

Technology

Our Company Promise

We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.

Job Description:

About Us

At Southwest Airlines, we believe that flying should feel like freedom. For over 50 years, we’ve been connecting people to what matters most with low fares, legendary hospitality, and a heart for service. Our culture is built on the principles of fun, friendliness, and family, making us one of the most admired workplaces in the world. 

If you’re passionate about making a difference, love working in a fast-paced environment, and want to help millions of travelers reach their destinations with a smile, Southwest Airlines is the place for you. Here,  your career can truly take flight.  

Job Summary

As a Tech Lead Data Engineer – Redshift, you'll provide technical leadership for the enterprise data platform that powers analytics, machine learning, AI, and critical business decision-making across Southwest. You'll join the Redshift Pod, which is responsible for delivering scalable, secure, and reusable data capabilities that make trusted enterprise data available across the Company. In this role, you'll set the technical direction for the Redshift platform, driving architecture, automation, performance optimization, and operational excellence while mentoring Engineers and guiding complex data solutions from design through deployment. Leveraging deep expertise in AWS, Redshift, SQL, infrastructure automation, and modern DevOps practices, you'll help enhance platform reliability, scalability, security, and cost efficiency while enabling high-volume data processing and analytics at enterprise scale. By partnering with Product, Data, and Engineering Teams across Southwest, you'll play a key role in advancing the Company's data-driven strategy while creating opportunities for innovation, continuous improvement, and professional growth within a high-performing Global Engineering Team.
Responsibilities
  • Lead and develop the big data platform
  • Design, build, implement, document and automate ingestion (real time and batch), enrichment and analytics data pipelines using big data tools and technologies
  • Assemble large, complex sets of data that meet non-functional and functional business requirements
  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
  • Implement Big Data Solutions as a hands-on Technical Lead
  • Process & ingest high volumes of data & transactions with full Life Cycle Implementation(s) of Scalable Big Data & Data Lake solutions
  • Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
  • Work with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
  • Work with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
  • Generate or adapt equipment and technology to serve user needs
  • May perform other job duties as directed by Employee's Leaders
Knowledge, Skills and Abilities
  • Knowledge of the practical application of engineering science and technology, including applying principles, techniques, procedures, and equipment to the design and production of various goods and services
  • Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models
  • Ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
  • Ability to understand the implications of new information for both current and future problem-solving and decision-making
  • Skilled in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions
  • Ability to engage in active, focused listening—accurately interpreting technical information, validating understanding through targeted questions, and maintaining appropriate communication flow.
  • Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events)
  • Ability to switch efficiently between multiple tasks or information sources, such as spoken instructions, system alerts, or data inputs.
  • Ability to organize data or actions in a defined sequence or structure based on specified rules or patterns (e.g., numerical, textual, visual, or mathematical sequences).
  • Ability to recognize defined patterns—such as shapes, words, or signals—even when they are embedded within distracting or complex information.
Education
  • Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training
Experience
  • Required: Expert level experience, expansive and far reaching knowledge in:
    • Building and optimizing data sets, ‘big data’ data pipelines and architectures
    • Performing root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
    • Excellent analytic skills associated with working on unstructured datasets
    • Building processes that support data transformation, workload management, data structures, dependency and metadata
    • 8-10 years of relevant work-related experience
    • Amazon Redshift; distribution keys; sort keys; encoding; WLM; concurrency scaling; data sharing; SQL; Python; Shell scripting; IAM; KMS; VPC; CI/CD; Terraform; CloudWatch; Redshift system tables; backup / disaster recovery; FinOps
  • Preferred:
    • AI-assisted development; AWS Glue; Lake Formation; Athena; Amazon S3; Step Functions; AWS Lakehouse; Databricks; AWS certifications

Other Qualifications
  • 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.
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Skills Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent formal training
  • 8-10 years of relevant work-related experience
  • Expert experience building and optimizing big data sets, pipelines, and architectures
  • Experience performing root cause analysis on processes and data
  • Excellent analytical skills working with unstructured datasets
  • Experience building data transformation, workload management, data structure, dependency, and metadata processes
  • Experience with Amazon Redshift, distribution keys, sort keys, encoding, WLM, concurrency scaling, data sharing, and Redshift system tables
  • Experience with SQL, Python, and Shell scripting
  • Experience with IAM, KMS, VPC, CI/CD, Terraform, and CloudWatch
  • Experience with backup and disaster recovery and FinOps
  • AI-assisted development experience
  • Experience with AWS Glue, Lake Formation, Athena, Amazon S3, Step Functions, AWS Lakehouse, or Databricks
  • AWS certifications

Southwest Airlines Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Southwest Airlines and has not been reviewed or approved by Southwest Airlines.

  • Pay Growth & Progression — Pay progression is described as materially improving after major 2024 union agreements, especially for pilots and flight attendants. Compensation satisfaction is framed as stronger over time as step scales and seniority accumulate.
  • Retirement Support — Retirement support stands out through a dollar-for-dollar 401(k) match and the presence of profit-sharing contributions that can add to retirement savings. Stock purchase access is also positioned as an additional ownership-oriented component of total rewards.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle value is elevated by extensive space-available travel privileges and broad travel-related discounts that can materially offset personal travel costs. Recognition mechanisms like points-based rewards are also positioned as an added lifestyle-oriented perk.

Southwest Airlines Insights

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The Company
HQ: Dallas, TX
28,585 Employees
Year Founded: 1971

What We Do

At Southwest Airlines we connect People to what’s important in their lives—that also means connecting our Employees to what’s important in their lives! Our Employees value the opportunity to work hard, be creative, and have fun on the job. Southwest Airlines recognizes, respects, and values differences. By fostering a culture that embraces and utilizes our diversity, we create competitive advantages in teamwork and innovation that contribute to our overall success.

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