Bloomberg Law (BLAW) provides users with fast access to legal content and analysis, practice tools, company information and market intelligence through advanced search & analytic capabilities. We are committed to changing the way legal professionals conduct their day-to-day tasks by automating research and providing analytical solutions to help them get real-time answers and better serve their clients.

The BLAW Engineering Analytics Team is driving the future of legal research by providing a Hadoop & Spark based solution for performing complex analytics for specific client-facing applications, as well as creating a robust platform for all our machine learning needs. As Team Lead, you will be leading a team of talented engineers to build the big data platform that will be put to use in extracting content and insight from legal information, enabling us to provide advanced visualization to our products, aiding the decision-making for legal research professionals.

We'll trust you to:

• Inspire and motivate a high performing team to achieve great results, while supporting individual growth and development
• Lead the team from the front by being hands-on in building and running the analytics stack
• Be tuned in to market trends and find innovative uses of the analytics stack
• Learn and apply best practices in running large scale distributed systems
• Build a partnership with our product teams and other internal customers to drive the product direction
• Have a passion for analytics, distributed processing, visualization
• Take risks. Our fast paced environment will require you to rise to the challenge and strive to exceed expectations

You'll need to have:

• 2+ years of experience of successfully running a team of engineers
• Experience/strong knowledge in Hadoop/Spark/Large scale data processing
• Experience building data pipelines and services and scaling them
• Knowledge/Experience with web services, API design, data modeling, OLAP/Business Intelligence
• Relentless focus on quality and reliability needed for an infrastructure team
• Ability to work across the organizational structure to get things done