Innovations - Data Engineering Lead Innovations - Data Engineering Lead …

Blackstone US
in New York, NY, United States
Permanent, Full time
Be the first to apply
Competitive
Blackstone US
in New York, NY, United States
Permanent, Full time
Be the first to apply
Competitive
Innovations - Data Engineering Lead
Job Description:
Data Engineering Lead Employer: Blackstone Firm Overview: Blackstone is one of the world's leading investment firms. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our asset management businesses, with $545 billion in assets under management, include investment vehicles focused on private equity, real estate, public debt and equity, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at www.blackstone.com . Follow Blackstone on Twitter @Blackstone . Business Unit: Innovations Business Unit Overview: Blackstone Innovations (BXi) is the technology team at the core of each of Blackstone's businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency and improve transparency within the firm and across our broad community of investors and portfolio companies. BXi is nimble and entrepreneurial - our open, iterative design processes and rapid pace of development mean that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge. Job Title: Data Engineering Lead Job Description: Blackstone is looking to hire a passionate technologist to lead data engineering in Innovations, the firm's technology team. We use data science and data engineering to provide a competitive advantage to our investment professionals and management teams, allowing Blackstone to be a more efficient investor and owner of assets. This individual will play a key role in Blackstone's use of data to impact investment decisions and management of our portfolio companies. We work directly with investment professionals, senior management of portfolio companies, data scientists, data analysts, and peer technology teams to define and deliver analytics value. As the lead of this team, you'll architect, design, implement, and extend core systems that enable data science and data visualization at one of the world's leading investment firms. These systems are deployed in the public cloud and include data lake, data warehouse, and data pipelines, as well as platform tools that help data scientists and data analysts throughout the firm and Blackstone's portfolio companies. The team also owns the design, development, and curation of golden-copy analytics data sources for data visualization dashboards and reporting solutions. Given the breadth and scale of Blackstone's investments, and the large role that data analytics and data systems play in key business processes, this is a truly unique opportunity and one where you can have a significant impact from day one. You will work alongside data engineers, data scientists, data analysts, and investment professionals on unique challenges. The ideal candidate needs to be comfortable establishing new methods, iterating quickly, communicating effectively, and delivering. Our data infrastructure is nascent, growing, and constantly improving. We primarily use Python and SQL, AWS cloud services, Snowflake data warehouse, and Airflow for workflow orchestration. We visualize data with Tableau. Our development environment leverages Vagrant and Docker. We practice infrastructure-as-code with Terraform, and we build continuous integration and deployment pipelines with Gitlab and Jenkins. Key Responsibilities:
  • Fully own the data engineering technical architecture for Blackstone, incrementally improving it to deliver value across a broad set of initiatives
  • Own the team's roadmap and project planning process, partnering with stakeholders to develop business objectives and translate those into action
  • Full-stack design, development, and operation of core data stack including data lake, data warehouse, and data pipelines
  • Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms
  • Consolidate/join datasets to create easily consumable, consistent, holistic information
  • Design and implement machine learning models and prediction APIs, and ensure their operational performance over time
  • Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code
  • Support and optimize desktop and cloud environments for data scientists, data engineers, and data analysts
  • Ensure efficiency, quality, resiliency of data science core systems
  • Work with senior technical staff throughout Blackstone's portfolio companies to develop data flows
Qualifications:
  • Undergraduate or graduate degree in a technical or scientific field, such as Computer Science, Engineering, Mathematics, or similar
  • 5+ years professional experience as a data engineer, software engineer, data analyst, data scientist, or related role
  • Analytically-minded and detail-oriented: you actually like staring at data, looking for patterns and outliers, establishing data models, and rigorously answering questions
  • Expertise in data engineering languages such as Python, Java, Scala, SQL.
  • Data modeling and data governance experience; you've designed and implemented data marts, data warehouses, or other large-scale data management systems
  • Experience building ETL and data pipelines, especially via code-oriented systems like Spark, Airflow, Luigi, or similar, and with varied data formats
  • Cloud-oriented but comfortable with on-premises infrastructure
  • Experience operating in a secure networking environment (e.g. behind a corporate proxy) is a plus
  • Creative problem-solving skills, especially in situations where "nobody has tried this before"; you thrive on the "art of the possible"
  • Excellent technical documentation and writing skills: you know Markdown syntax cold, and have published API documentation or similar
  • Rigorous editing and review skills; code, documentation, presentations - you know what excellence means
  • You're not satisfied with "close enough" solutions, and you design long-term solutions that are flexible and adaptable
  • You have a bias towards automation: "one-time scripts" eat away at your soul a little bit each time you see one in the wild
  • Proficiency in statistics and machine learning is a nice-to-have, and interest in learning these is even better!
  • Familiarity with visualizing data with Tableau and similar tools
  • Great customer service and technical troubleshooting skills
  • Inspiring public speaking skills, in small and large settings, with audiences of various technical skills
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law. If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).

The Blackstone Group and its affiliates provide equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other classification prohibited by applicable law.

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