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Sr. Data Platform Engineer

FIRM OVERVIEW

BBR Partners is a boutique wealth management firm providing customized investment strategies and bespoke advice to high-net-worth individuals and families. Our clients are comprised of the brightest minds in the financial and investing worlds, entrepreneurs, business owners, leaders, and influential families who entrust us with the holistic care of their fiscal well-being. The firm was founded in early 2000 and for over 20 years has nurtured our culture with talented people from diverse backgrounds who care about each other, our clients, and our collective communities. In our quest for continuous improvement, we strive to develop not only world class talent, but world class humans!

POSITION OVERVIEW

BBR Partners is searching for a Sr. Data Platform Engineer to influence development across their modern data stack. They are looking for an experienced, hands-on technical lead who has a proven track record in continuously improving design patterns. This individual will be responsible for driving the development and adoption of modern data practices across multiple business lines (Development, Analytics, Research, Advisory). The ideal candidate will also have exposure to modern (cloud) data stacks, as well as the Asset Management industry.

RESPONSIBILITIES

  • Coach the data team to deliver data and strategic approaches that help optimize BBR’s data insights and accessibility for both Front-Office and Middle-Office needs.
  • Lead the efforts for modernizing data development techniques using modular, composable and (where possible) open-source technologies.
  • Guide the establishment of high-performance, scalable, and reliable analytics platform using Cloud technologies to directly impact our analytics capabilities.
  • Support analytics engineering, data engineering, and technology in furthering insights in funds, operations, and client intelligence.
  • Implement, monitor, and govern enterprise data privacy policies and complying with data protection regulations.
  • Establish data standards for analytical data over business terms, business definitions, enterprise code sets, data elements and business rules.
  • Enable data usability, availability, and efficiency to create product strategies to address market needs and translate into a product roadmap.
  • Aide in the delivery and patterns required to integrate data from various 3rd parties for research and mission critical applications, encompassing data monitoring and repeatability principles.

QUALIFICATIONS 

  • Minimum 5 years experience using Python for data automation/ETL/ELT automation in a production capacity (e.g. Airflow, Git, Medallion Architectures)
  • Experience working with and evolving / architecting Snowflake (or Databricks), DBT models in a production environment.
  • Experience leading design/approaches in both transactional (OLTP) and analytical (OLAP) workloads.
  • Strong working knowledge of Pandas/Polars/Dask, SQL.
  • Comfort working with Linux, Bash in a professional environment.
  • Experience using data replication technology in a data-warehousing context (e.g. Azure Data Factory, Qlik Replicate, etc).
  • Experience working with and delivering data visualization and reporting using enterprise tooling (e.g. Sigma, Tableau, Power-BI).
  • Passionate and knowledgeable about data products, platforms, and the evolving data landscape.
  • Excellent quantitative, mathematical, and problem-solving skills.
  • Ability to work with a fair degree of autonomy and demonstrate tremendous initiative and sense of personal accountability.
  • Experience previously leading and delivering successful cross-functional data initiatives (business users, BI analysts, product managers).
  • Intellectually curious out-of-the-box thinker who is passionate about brainstorming innovative ways to use data to solve business problems.
  • At least 2 years experience in investment management, market data, financial services, or fintech.
  • Strong at technical goal setting for a project with actionable success metrics. Good knowledge and experience on measuring a service from a user experience angle.
  • Excellent communication and negotiation skills, capable of building enthusiastic support for new ideas and converting resistance to endorsement with robust collaboration with various stakeholders, leaders and agile team(s) across the organization.
  • High level of attention to detail. 

WHAT WE OFFER

  • Opportunity to collaborate with accomplished colleagues in an entrepreneurial and fast-paced environment.
  • Competitive base salary and incentive compensation.
  • Company subsidized health, dental and vision insurance for employee, partner, and dependents.
  • 401K plan, Life insurance, and short & long-term disability coverage.
  • One Medical membership (covered for employee and dependents), Employee assistance program (EAP), Gym reimbursement and other wellness offerings.
  • Pre-tax transit and parking programs, Health Savings Account (HSA) and flexible spending programs for medical and dependent care.
  • Personalized development and career opportunities.
  • Flexible time off, paid parental leave, and opportunity for Sabbatical with company tenure.
  • Hybrid remote work environment, “Work from Anywhere” weeks, and casual dress.
  • New office space with a variety of perks and amenities including catered lunches and stocked pantry.

ADDITIONAL INFORMATION
Base salary for this position will be determined during the interview process and will vary based on multiple reasons, including but not limited to prior experience, relevant expertise, current business needs, and market factors. The expected base salary for the role will generally be between $150,000 and $200,000 per year at the commencement of employment, but the final salary offered may be outside this range based on these reasons and individual circumstances. Additionally, base salary is only part of the total compensation package, which, depending on the position, may also include discretionary bonuses, alternative incentive packages and Company-sponsored benefit programs. This position is at-will, and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

We value and seek diversity of thought and equity of representation. The environment at BBR is inclusive of all, collaborative and endlessly curious. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

 

 

 

 

New York Pay
$150,000$200,000 USD
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What You Should Know About Sr. Data Platform Engineer, BBR Partners

BBR Partners is looking for a Sr. Data Platform Engineer to join our team in the vibrant city of New York, NY. As a boutique wealth management firm, we're dedicated to providing innovative investment strategies and personalized advice for high-net-worth clients. In this hands-on role, you will have a significant impact on enhancing our modern data stack and will lead the charge in adopting cutting-edge data practices. Your expertise in Python, data automation, and cloud technologies will be invaluable as you coach our data teams to improve insights and data accessibility. Collaborating across various business lines, you’ll establish high-performance, scalable analytics platforms while ensuring compliance with data privacy regulations. Your role will also involve developing strategic data standards and integrating third-party data solutions to drive our business forward. We’re seeking someone with curiosity, a problem-solving mindset, and a passion for innovating within the ever-evolving landscape of data. If you’re ready to make a real difference in our organization and enjoy an environment that fosters growth and collaboration, then this is the perfect opportunity for you. Join us in shaping the future of data at BBR Partners!

Frequently Asked Questions (FAQs) for Sr. Data Platform Engineer Role at BBR Partners
What are the responsibilities of the Sr. Data Platform Engineer at BBR Partners?

As a Sr. Data Platform Engineer at BBR Partners, your primary responsibilities include coaching the data team to deliver optimal data insights, leading modernization efforts using advanced data development techniques, and establishing scalable analytics platforms. You will also monitor and govern data privacy compliance, set data standards, and enhance data usability and efficiency across our analytics and advisory functions.

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What qualifications are required for the Sr. Data Platform Engineer position at BBR Partners?

The ideal candidate for the Sr. Data Platform Engineer role at BBR Partners should have a minimum of 5 years of experience with Python for data automation and familiarity with cloud data stacks like Snowflake or Databricks. Knowledge of data engineering principles, expertise in OLAP and OLTP workloads, and experience using data visualization tools are also essential. At least 2 years in investment management or related fields is a significant plus.

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How does BBR Partners support the development of their Sr. Data Platform Engineer staff?

BBR Partners values the continuous development of its team members, offering personalized career growth opportunities, training sessions, and workshops. You’ll work alongside accomplished colleagues in a fast-paced environment that promotes learning and collaboration, allowing you to stay ahead in your field.

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What technologies should the Sr. Data Platform Engineer be familiar with at BBR Partners?

The Sr. Data Platform Engineer at BBR Partners should be well-versed in using Python for data tasks and familiar with Airflow, Git, and modern data replication technologies. Having a solid understanding of SQL, data visualization tools like Tableau and PowerBI, as well as experience with Linux and Bash is crucial for success in this role.

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What is the work environment like for a Sr. Data Platform Engineer at BBR Partners?

At BBR Partners, you can expect a hybrid work environment that includes flexible work arrangements and a casual dress code. Our office in New York is designed to foster creativity and collaboration, featuring perks like catered lunches and a stocked pantry. We believe in maintaining an inclusive and curious culture where ideas flourish.

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Common Interview Questions for Sr. Data Platform Engineer
Can you describe your experience with cloud data technologies in previous projects?

When answering this question, focus on specific cloud technologies you've worked with, such as Snowflake or Databricks. Detail your role in implementing these technologies, the challenges faced, and the outcomes achieved. Highlight how your technical decisions positively impacted data accessibility or insights.

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How have you optimized data workflows using Python?

For this question, provide examples of your past roles where you've leveraged Python for data automation and ETL/ELT processes. Discuss specific libraries or frameworks you used, challenges you encountered, and the improvements that resulted from your optimizations.

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What strategies do you use to ensure data privacy compliance in your projects?

In responding to this question, discuss the importance of data privacy and any relevant regulations like GDPR. Provide examples of how you implemented privacy policies in previous roles and the methodologies you utilized to monitor compliance effectively.

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How do you approach scaling analytics platforms?

When discussing scaling analytics platforms, mention specific instances where you've dictated measures that enhanced platform performance. Detail your understanding of scalable architecture principles and cloud infrastructure that supported high performance.

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Can you give an example of a successful cross-functional data initiative you've led?

Share a specific project where you collaborated with various stakeholders. Highlight your leadership in guiding the initiative, the results achieved, and the impact it had on the overall business. This showcases your teamwork and communication skills.

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What is your experience with data visualization tools?

Discuss your experience with specific tools such as Tableau or Power BI, including how you've used them to report data insights. Share how you tailored visualizations to meet user needs and the effectiveness of your presentations.

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How do you stay updated with the latest trends in data engineering?

When answering this question, mention specific resources you use for staying informed, such as following industry leaders on social media, engaging in relevant courses, or reading professional publications. This highlights your commitment to continuous learning.

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Describe a time when you had to troubleshoot a data issue in a production environment.

Share a situation where you identified and resolved a data issue. Detail the process you followed to troubleshoot, the tools you used, and how your resolution positively impacted the project or team.

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What methodologies do you follow for setting and achieving technical goals?

Discuss your approach to setting SMART goals (Specific, Measurable, Achievable, Relevant, Time-bound) for technical projects. Emphasize the importance of measuring progress and adapting strategies based on performance metrics.

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What do you believe are the key factors for success in the role of a Sr. Data Platform Engineer?

Provide a thoughtful answer that includes important qualities such as strong communication skills, a solid understanding of both technical and business needs, and the ability to translate complex data concepts into actionable strategies.

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To continue to exemplify BBR's Core Values of Empathy, Integrity and Rigor, in both our personal and professional lives.

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Full-time, hybrid
DATE POSTED
January 8, 2025

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