Director of Engineering Director of Engineering …

Experian Information Solutions Incorporated
in Milpitas, CA, United States
Permanent, Full time
Be the first to apply
Experian Information Solutions Incorporated
in Milpitas, CA, United States
Permanent, Full time
Be the first to apply
Director of Engineering
🌎 English English (United Kingdom) Espaol Portugus (Brasil) () This job posting isn't available in all website languages ☰ Director, Software Engineering New 📅 4 days ago Post Date 📅 201846 Requisition # Apply for Job Share this Job Justin Hastings - Chief Human Resources Officer, North America at Experian Justin Hastings talks about our culture of innovation and inclusion. Visit to search for your next opportunity.

Experians Consumer Information Services (CIS) Platform Engineering team is looking for highly motivated engineering leader that can thrive in a non-traditional, fast paced agile environment at the cutting-edge of the Cloud and Big Data analytics ecosystem. This person can join us in our Costa Mesa office or in our San Jose office. Our Data Engineering/Infrastructure team provides a platform that caters to various data needs for both external and internal customers. The technologies we work on include a broad range of both commercial and opensource solutions Java/J2EE, NoSQL, Hadoop, Hive, Tez, Spark, Python, R, H20, SAS, Jupyter, Parquet, Presto, Griffin, Zeppelin, Kafka, Kstreams/Attunuity and other ML/AI products.  We are ultra-focused in our platform engineering teams and are looking for strong leaders to help us execute on our vision. If you have a passion for finding solutions to hard business problems and building partnerships and teams to deliver these solutions to customers, we are eager to speak with you.

About us, but well be brief

Experian is the worlds leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. For five years in a row, we have been named in the Top 100 Worlds Most Innovative Companies by Forbes Magazine. With a focus on our employees, we were rated the #1 Top Workplace by the Orange County Register. Experian Consumer Information Services is redefining the way our clients do business within all aspects of the customer credit lifecycle. Fueled by best-in-class data and innovative technology we help businesses make smarter decisions, identify consumers, make decisions on loans, market to prospects and collect.

What youll be doing

In this role, you will be leading data engineering teams within Experians platform engineering organization. We operate at a substantial scale, with Hadoop clusters of hundreds of nodes, petabytes of data and thousands of jobs executed. We are a security first organization with heavy investments around privacy and data adoption, embracing a hybrid cloud strategy and various data engineering initiatives. Additional esponsibilities will include:

  • Creating the vision for the data engineering/infrastructure teams across the business and develop a plan to achieve it.
  • Establishing the processes needed to achieve operational excellence in all areas, including program management and SRE.
  • Building relationships with Data Scientists, Product Managers and Software Engineers to understand data needs.
  • Guiding the design, build and launch of new data models and data pipelines in production.
  • Establishing SLAs for all data sets and processes running in production.
  • Acting as a bridge between various engineering teams by breaking break through communication issues and building trust across the organization.
  • Proactively remove obstacles to drive momentum and progress. Identify communication gaps, manage issue escalations and provide support to teams balancing competing priorities. 

What your background looks like

  • Bachelors degree in Engineering, Computer Science, or related field.
  • Previous management experience in a high-performing, large-scale technology company.
  • Proven success in developing teams that work on large scale data infrastructure.
  • Experience in data warehouse technologies, data modeling and ETL development.
  • Experience in any programming language like Java, Scala or Python.
  • Experience with big data technologies like Hadoop, Spark, Hive, Presto etc.
  • Experience working on both real-time and batch processing data pipelines.
  • Four weeks of vacation to start, five sick days and two volunteer days (plus eleven paid holidays)
  • This is a bonus eligible position, with a bonus target of 20%
  • Employee stock purchase program and 401K matching

EOE including Disability/Veteran

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