Lead Data Engineer

Solutions for Today’s Challenges. Vision for Tomorrow’s Opportunities.

Join William Blair, the Premier Global Boutique.

William Blair has delivered trusted advice for nearly nine decades, and we continue to deepen our expertise and relationships across regions, asset classes, and markets throughout North America, Europe, Asia, and Australia.

We are committed to our people and culture, values, clients, and local communities.

What sets us apart is that we are an independent partnership, with employees who have unique experiences, perspectives, and backgrounds. We provide advisory services, strategies, and solutions to meet clients’ evolving needs amid dynamic market conditions and varying industries.

We strive to attract the most qualified, passionate candidates who specialize in investment banking, investment management, private wealth management, and a variety of other business functions.

We work tirelessly to create an inclusive culture and take pride in fostering employees’ professional and personal growth. We empower our people to bring their best thinking each day so we can deliver the tailored, thoughtful work and problem-solving abilities that our clients expect.

Equally, we are proud of our long-term partnerships with the communities in which we live and work, a legacy we inherited from our founder.

We invite you to learn about how we are seeking excellence in everything we do and empowering our clients’ success with passion, creativity, and rigor. For more information, visit williamblair.com.

You will be joining a high-performing and motivated Business & Technology team that works alongside Portfolio Managers, Analysts, Quantitative Strategists, and other members of the Institutional Investment Management division. You will also have direct exposure with a dedicated team of technologists with a variety of skill-sets developing & managing our proprietary front-office research platforms. The job will afford the opportunity to work within the business and interact closely with business partners to gain insight into our proprietary research, analytics & portfolio management processes that largely represent our competitive advantage.

JOB SUMMARY & RESPONSIBILITIES:

Responsibilities include but may not be limited to:

• Apply your technology skills to design, develop, and support scalable end-to-end systems that automatically ingest, curate, model, and store data for access by stakeholders.

• Develop APIs to support proprietary web-based applications.

• Work directly with various internal (platform teams, software developers, quant/research analysts) and external partners (vendors) on new data initiatives and design data feeds/APIs for data exchanges between systems.

• Contribute toward expanding access to data in the data lake through tools including Python, R, and Dremio.

• Assist in the migration of our research platform from Linux VMs to containers and Kubernetes.

• Contribute to the reliability and scalability of our systems, reducing support requirements through automation, unit testing, integration testing, and development of robust logging and monitoring.

• Develop monitoring and logging systems for our production container resources using Prometheus and Grafana.

• Evaluate dbt as an addition to our technology stack, present the findings to the Business & Technology Team, develop, and execute a plan for implementation.

• Contribute to support of Linux VMs, while encouraging further adoption of docker and serverless cloud- based compute.

• Wrangle alternative and unstructured data to facilitate extraction of value and insights.

• Champion the reduction of any duplication, redundancy, and silos in our data infrastructure.

• Learn and evaluate new technologies to improve our data infrastructure and increase its scalability.

• Design, coordinate, and execute pilots or proof of concepts to evaluate new technologies.

• Leverage best practices by avoiding duplicate copies of data, using source control, following security protocols, and maintaining documentation.

• Provide technical guidance to ensure high reliability, and secure performant systems.

• Assist in other projects for Investment Management as requested.

QUALIFICATIONS:

• Bachelor’s/master’s degree in computer science or related quantitative field, or equivalent experience.

• 5 to 10 years of programming or data engineering experience.

• .NET and C# and REST

• Skilled in developing RESTful APIs

• Programming skills in SQ