Senior Manager, Software Engineering at Experian

Madison, Mississippi, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Cloud ETL, Data Engineering, Data Pipelines, Apache Beam, Spark, Airflow, AWS, GCP, Azure, Java, Scala, Python, Kafka, Hadoop, Data Governance

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Financial Services Division (FSD) Engineering team is looking for a Senior Manager of Software Engineering that can excel in a non-traditional environment, working with the latest in the Cloud and Big Data ecosystem. You will be a hands-on leader guiding a data engineering team building data pipelines for batch and streaming data. You will work with teams across different time zones in the United States and India. You will be reporting to the Director of Software Engineering, and this is a fully remote position within the United States. You'll have opportunity to: Lead a high-performing team of cloud ETL and data engineers, promoting a culture of innovation, collaboration and knowledge. Architect and oversee the development of scalable, cloud-native data pipelines using technologies like Apache Beam, Spark, and Airflow across AWS, GCP, or Azure. Collaborate with Product, Architecture, TPM, and Data Governance teams to deliver secure, compliant, and high-quality data products. Improve adoption of best practices in data engineering, including data quality, lineage, cataloging, and governance aligned with CDA and data mesh principles. Champion agile methodologies and continuous improvement in engineering processes, tooling, and DevOps practices. Cultivate engineering talent through coaching, career development, and performance management in a distributed team environment. Qualifications Bachelor's degree in technical discipline; or Masters degree. 8+ years of software engineering experience with at least 3+ years in engineering leadership roles Knowledge and experience with Java, Scala, Python, Kafka, and Containerized Micro-services AWS Cloud experience - Aurora MySQL, ECS, MSK, EMR, S3, EFS, etc. Knowledge of Hadoop/Spark and different data formats like Parquet, CSV, etc. Additional Information Benefits/Perks: Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote

Responsibilities

Lead a high-performing team of cloud ETL and data engineers while overseeing the development of scalable, cloud-native data pipelines. Collaborate with various teams to deliver secure, compliant, and high-quality data products.