Lumen Inc is hiring: Sr Data Warehouse Lakehouse Developer in Austin

We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. We are seeking a Senior Data Warehouse/Lakehouse Developer to design, build, and optimize enterprise data solutions. This role combines advanced development expertise with strong analytical skills to translate business requirements into scalable, high-performance data systems. You will work closely with architects, product owners, and scrum teams, provide technical leadership, and ensure best practices in data engineering and testing. The position is a Work-From-Home available from any US-based location. You must be a US Citizen or Permanent Resident/Green Card for consideration. Develop and maintain ETL/ELT processes for Data Warehouse and Lakehouse environments. • Create and optimize complex SQL queries, stored procedures, and data transformations. • Build and enhance source-to-target mapping documents. • Assist with UAT build and data loading for User Acceptance Testing. • Estimate levels of effort (LOEs) for analysis, design, development, and testing tasks. Collaborate with architects, system engineers, and product owners to understand and detail business/system requirements and logical/physical data models. • Participate in and consult on integrated application and regression testing. • Conduct training sessions for system operators, programmers, and end users. Analyze programming requests to ensure seamless integration with current applications. • Perform data analysis and mapping to ensure accuracy and consistency. • Generate test plans and test cases for quality assurance. • Monitor and optimize data pipelines for performance and reliability. • Adapt to changing priorities and aggressive project timelines while managing multiple complex projects. Proficiency in SQL and at least one programming language (Python, Java, Scala). • Experience with ETL tools (Informatica, Kafka) and Lakehouse technologies (Azure Data Factory, PySpark). • Familiarity with databases (Databricks, Oracle, SQL Server). • Knowledge of modeling tools (Visio, ERwin, UML) and data analysis tools (TOAD, Oracle SQL Developer, DBeaver). • Strong understanding of data warehousing concepts and Lakehouse architecture. Strong troubleshooting and performance tuning skills. • 6+ years of experience with a Bachelor's degree OR 4+ years with a Master's degree. • Proven ability to lead technical teams and manage projects. • Experience in applications development and systems analysis. Project management experience. • Familiarity with CI/CD pipelines and version control (Git). • Exposure to big data frameworks (Spark, Hadoop) and cloud ecosystems (Azure, AWS, GCP). This information reflects the anticipated base salary range for this position based on current national data. Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Bonus Structure #LI-Remote #If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. All legitimate job openings will be posted on our official website or communicated through official company email addresses.