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Data Lakehouse Architect

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

The Data Lakehouse Architect ensures the creation, expansion and sustaining of the Data Lakehouse, effectively supporting the storage, processing and integration of data for Brown & Brown’s National Pharmacy Team. As a subject matter expert on Data Lakehouse architecture this role provides technical leadership and guidance to the data development teams. The role will also ensure technical implementations align with standards and business goals, driving both innovation and operational excellence in data management.

Essential Duties and Functions: include the following.

  • Collaborate with IT teammates of other disciplines to create optimized data architecture solutions for cross functional development teams that meet the business requirements for data storage, processing, and analysis. Lead group-based efforts and decisions that involve significant complexity and scope spanning organizational functions and data use.
  • Be a liaison and partner to business stakeholders, explaining data concepts and applications that allow the business to understand and engage with the data teams and the architecture that provides business solutions.
  • Create architecture strategies and frameworks while defining and maintaining detailed standards.
  • Support the curation of and provide accessibility to external sourced master data within the Data Lakehouse.
  • Identify and provide resolutions to architecture issues including, but not limited to, compatibility, fit, and integration.
  • Create artifacts and objects used in the SDLC of the Data Lakehouse.
  • Be a key contributor to emerging data governance capabilities within the Data Delivery teams.
  • This position will include job duties that require risk designations for access to Electronic Protected Health Information (PHI) in the course of their job responsibilities.
  • Other duties may be assigned.

Competencies:

  • Technical leadership – the individual is skilled at leading others to a point of understanding complex data, architecture structures or other technical content resulting in group understanding, decisions and agreements.
  • Self-Driven – the individual has a high level of motivation and can work in both a team and independent capacity, making the most of the time available within a workday, and completes items with limited oversight from leadership.
  • Conceptual and Detail Orientation - Ability to envision, inspire and lead a team-based execution of the Data Lakehouse while also being engaged at detailed levels of data instances and use cases managed by the Data Lakehouse.
  • Analytical – the individual is motivated as well as skilled to learn, discover, identify exceptions or outliers, make associations and come to conclusions by utilizing advanced data analysis and profiling skills.
  • Collaborative – the individual is open to other’s ideas and has mutual respect for team members and other contributing roles strengths and skills that contribute to total team success and best results.
  • Attentive listening and engagement – intakes, retains and responds to information presented through conversations or presentations, leading to follow up questions for confirmation and application of the knowledge received.
  • Written and Oral communication—Communicates a concise message that resonates every time.  The individual speaks clearly and persuasively in positive or negative situations and demonstrates group presentation skills.
  • Planning/organizing—the individual prioritizes and plans work activities and uses time efficiently.  Makes good and timely decisions that drives the Data Lakehouse forward to further provide data solutions and value to National Pharmacy Teams.
  • Quality control— Is relentless in the pursuit of the Data Lakehouse presenting accurate and quality data prepared from a diverse range of data sources.
  • Adaptability—the individual is flexible, skilled and willing to completing a range of tasks or duties either assigned or situationally self-identified as beneficial or needed for the success of the Data Lakehouse team.

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

Required

  • Detailed comprehension of Pharmacy claims data gained from 5+ years’ experience in an IT data team role with an applicable Pharmacy industry organization.
  • 8+ years in data architecture, designing and building data assets and products.
  • Expert knowledge of Data Lakehouse technical architecture concepts, infrastructure components and ELT process.
  • Extensive experience with known data modeling and ETL tools.
  • Proficient in the visual creation of complex data flow and process diagrams.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, technologies.
  • Associates or Bachelor’s degree in Information Systems, Computer Sciences related fields or equivalent experience in an enterprise organization.

Preferred

  • Experience with Microsoft Azure technologies
  • Experience with Idera ER/Studio
  • Proficient with Azure DevOps for backlog management, source control as well as deployment builds and execution.
  • Worked in a Scrum and or Kanban based team
  • Comfortable using MS Teams, chat, channels, and integration with SharePoint for communications and collaboration
  • Prior experience working as a member of a remote team

Pay Range

100000 - 125000 Annual

The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.

Teammate Benefits & Total Well-Being

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance  
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement 
  • Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more. 

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations. 

The Power To Be Yourself  

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”. 

Average salary estimate

$112500 / YEARLY (est.)
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$100000K
$125000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Lakehouse Architect, bbinsurance

Are you ready to take on a pivotal role as a Data Lakehouse Architect at Brown & Brown? This fully remote position allows you to immerse yourself in the exciting world of data architecture while supporting our National Pharmacy Team. We pride ourselves on a culture of meritocracy, where self-starters are rewarded, and your commitment to our customers drives our success. As the Data Lakehouse Architect, you'll lead the way in creating and sustaining our Data Lakehouse, ensuring it effectively supports data storage, processing, and integration. Your technical leadership will guide our data development teams, aligning implementations with our business goals and standards. You'll collaborate with cross-functional teams to design optimized data architecture solutions that meet business requirements. Being a liaison to our business stakeholders means you'll explain data concepts in a way that fosters understanding and engagement. You’ll also contribute to the evolution of our data governance capabilities. With your expertise, you'll help resolve architecture issues, curate master data, and create artifacts used in the Software Development Life Cycle (SDLC). We’re looking for someone with at least 8 years of data architecture experience and a sophisticated understanding of Pharmacy claims data to bring innovative solutions to our data management strategies. Join us in building an exceptional Data Lakehouse that drives operational excellence and enhances decision-making for our National Pharmacy Team!

Frequently Asked Questions (FAQs) for Data Lakehouse Architect Role at bbinsurance
What are the responsibilities of a Data Lakehouse Architect at Brown & Brown?

As a Data Lakehouse Architect at Brown & Brown, your primary responsibilities will include leading the creation and upkeep of the Data Lakehouse, collaborating with IT and other business stakeholders, and ensuring that architecture designs align with business goals. You will also be tasked with resolving architecture issues, supporting data curation, and fostering effective communication between technical teams and business units.

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What qualifications do I need to become a Data Lakehouse Architect at Brown & Brown?

To qualify for the Data Lakehouse Architect position at Brown & Brown, candidates should have a minimum of 8 years of experience in data architecture and at least 5 years of experience specifically with Pharmacy claims data. A strong understanding of Data Lakehouse technical architecture, data modeling, and ELT processes is also essential. Candidates should possess advanced SQL knowledge and a relevant degree in Information Systems or Computer Science.

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Is remote work an option for the Data Lakehouse Architect role at Brown & Brown?

Yes, the Data Lakehouse Architect position at Brown & Brown is fully remote. This arrangement allows you to engage with a diverse team while enjoying the flexibility of working from your preferred location across the USA.

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What is the expected salary range for the Data Lakehouse Architect position at Brown & Brown?

The salary range for the Data Lakehouse Architect position at Brown & Brown is between $100,000 and $125,000 annually. This range is determined based on years of experience, geographic location, and budget considerations associated with the role.

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What benefits can I expect as a Data Lakehouse Architect at Brown & Brown?

At Brown & Brown, the benefits package for Data Lakehouse Architects includes comprehensive health coverage, financial benefits such as 401k and tuition reimbursement, mental health services, and generous paid time off. We are dedicated to the total well-being of our teammates, ensuring a supportive work-life balance.

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Common Interview Questions for Data Lakehouse Architect
Can you explain your experience with data architecture and why it's important for the Data Lakehouse role?

In answering this question, you should focus on specific projects you've worked on related to data architecture, emphasizing the significance of your contributions to previous Data Lakehouse or similar environments. Highlight any challenges you've overcome that demonstrate your skills and decision-making process.

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How do you ensure that your data architecture designs align with business goals?

To address this, explain your strategies for collaboration with business stakeholders, such as conducting workshops or using feedback loops to iterate on design plans. Provide examples of how you have successfully adjusted architecture to better meet organizational needs in previous roles.

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What tools and technologies are you proficient with for data modeling and ETL processes?

Share your expertise with specific tools you've used in past roles, such as cloud-based systems, ETL tools, and data visualization software. Discuss how you've leveraged these tools to design efficient data workflows or solve complex data challenges.

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Can you describe a complex problem you faced in a previous project and how you resolved it?

Use this opportunity to narrate a specific scenario where you identified a complicated architecture issue. Explain the steps you took to analyze the problem, the solution you implemented, and the positive outcome that resulted from your intervention.

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What methodologies have you used in collaborating with cross-functional teams?

Here, discuss your experience with Agile methodologies or other collaboration frameworks. Explain how you've facilitated working sessions or maintained communication to ensure team alignment on goals and deliverables.

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How do you stay updated on trends and advancements in data architecture?

Talk about the training, courses, webinars, or relevant publications you follow to keep yourself informed about industry trends. Mention any professional organizations you belong to or conferences you've attended that enhance your knowledge.

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What experience do you have with cloud technologies, especially Microsoft Azure?

Focus on any projects you've completed using Azure services for data storage, processing, or analysis. Discuss your familiarity with creating and deploying solutions on Azure and how it complements your role in data architecture.

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How do you manage data quality and governance within your designed architectures?

Discuss the practices you've implemented for maintaining high-quality data standards. Emphasize your experience with data curation, validation processes, and governance frameworks to ensure compliance and accuracy.

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Can you provide an example of your technical leadership in previous roles?

Illustrate your leadership style by describing how you've guided teams in understanding complex technical content, perhaps through workshops or mentoring. Highlight a specific instance where your leadership positively impacted project outcomes.

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What role does communication play in your work as a Data Lakehouse Architect?

Explain the importance of both written and verbal communication in your previous roles, particularly in bridging gaps between technical teams and business stakeholders. Provide examples of how effective communication has led to successful project execution.

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DATE POSTED
April 8, 2025

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