Data and Analytics Architect

company

At Orion180, we don’t just stand out for what we do; we shine because of how we do it. Our mission is to deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products. Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry.

O rion180 is proud to call three vibrant cities home. Our headquarters on Florida’s stunning Space Coast in Melbourne offers an exceptional quality of life, with affordable housing, excellent transportation, and close proximity to major cities like Orlando, Tampa, and Miami. Our Irving, Texas, office places us in a dynamic center of culture, business, and entertainment, keeping us closely connected to innovation and growth. Our Draper, Utah, location, nestled in the heart of the Salt Lake Valley, connects us to a rapidly growing tech ecosystem and provides access to the outdoor lifestyle and natural beauty the region is known for.

role

ABOUT THE ROLE:

We believe analytics isn't a back-office function. It's not a reporting layer bolted onto the business after the real decisions get made. It's the foundation that tells you where risk actually lives, where growth is hiding, and where you're missing opportunities before it's too late to do anything about it.

That belief is driving real investment in our people, platforms, and in how deeply analytics is woven into the way we operate. From underwriting to distribution to customer experience, we're building a data culture where insight drives action.

It also means evolving how we think about the role of a   Data   and Analytics Architect.

The expectation isn’t just technical execution. It’s curiosity. Ownership. The ability to step into ambiguity, frame the problem, and help guide the business toward better decisions.

WHAT YOU’LL DO:

In this   role   you will   be   designing   and   governing   scalable data platforms on the Microsoft cloud. Key responsibilities include   bridging the gap between complex core insurance systems (Policy Admin, Claims, Billing) and our analytical consumers, implementing data   lakehouse   architectures, ensuring data governance, and leading cloud migrations   and   platform integrations. Ideal candidates   require   expert-level   proficiency   in   Azure data services and data modeling.    You will collaborate with data scientists, analysts, and business leaders to turn raw data into scalable, production-ready assets   for   real-time analytics engines, portfolio risk platforms, and client-facing digital products.

Data Architecture & Modeling

- Design secure, scalable, and resilient data architectures using the medallion (Bronze/Silver/Gold) pattern and   Delta Lake   pattern in close partnership with   the Enterprise Innovation   & Technology   (I & T)   organization.

- Lead physical and logical data modeling efforts across relational, dimensional (Kimball / Star Schema), and Data Vault methodologies.

- Develop high-performance data processing logic using   PySpark, Spark SQL, and Python on   Azure Databricks   and Synapse Analytics.

- Define data abstraction layers ensuring third-party SaaS and legacy databases map cleanly to machine-readable schemas for   efficient and measurable   consumption.

- Architect secure, scalable Model Context Protocol (MCP) servers and gateways to connect LLMs and AI agents to internal   analytical   data repositories.

Platform & Engineering Standards

- Establish architectural patterns and best practices for data ingestion, transformation, and pipeline orchestration.

- Evaluate, benchmark, and recommend components of our modern data stack   in alignment with   I & T’s strategy   and   be an active participant/contributor to the Architecture Review Board.

- Work closely with Data Engineers to conduct architecture reviews and mentor engineers on scalability and pipeline efficiency.

- Architect semantic layer solutions and data product structures to power self-service   Power   BI   implementations.

- Architect high-throughput batch and streaming pipelines to ingest structured   transactional   policy/claims data as well as unstructured data (e.g., adjuster loss notes, FNOL images, aerial and satellite imagery surveys).

- Collaborate with Data Science and Machine Learning teams to ensure clean, structured feature stores and data pipelines for   future   ML models and applications.

Governance, Quality & Security

- Implement automated data quality monitoring, data lineage tracking, and metadata management frameworks   across the data lifecycle.

- Partner with   the Enterprise Technology and   Security   and Compliance teams to enforce role-based access control (RBAC), data masking, and compliance standards (SOC 2, GDPR, CCPA).

Architectural Leadership

- Partner with the   I & T   architecture team to   build and   optimize   complex ETL/ELT workflows   utilizing   Azure Data Factory   and   Microsoft Fabric Data Pipelines.

- Work closely   with Data Engineers, Data Scientists, and business stakeholders to deploy AI/ML models and Business Intelligence solutions (e.g., Power BI).

WHAT WE’RE LOOKING FOR:

- Education:
- Bachelor’s or   Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.

- United States Citizen or Green Card holder   required.

Experience:

- 7+ years in enterprise data architecture with   demonstrated   expertise   in leading data platform initiatives and modernizing data estates.

- Expert in   Azure Data Lake Storage Gen2 ,   Azure Synapse Analytics ,   Azure Databricks ,   Azure Data Factory , and   Microsoft Fabric .

- Strong knowledge of relational and NoSQL systems like   Azure SQL Database   and   Azure Cosmos DB .

- Experience designing real-time   architecture   using   Azure Event Hubs   and   Stream Analytics.

- High   proficiency   in   Python ,   SQL ,   PySpark , and   Spark SQL .

- Ability to integrate   Geospatial   data types and visualization platforms for location   intelligence   that removes   data fragmentation and technical bottlenecks.

- Preferred credentials include   Microsoft Certified: Azure Data Engineer Associate   or   Azure Solutions Architect Expert.

Skills & Attributes:

- Excellent analytical, problem-solving, and critical-thinking skills.

- Strong communication and collaboration abilities across technical and non-technical teams.

- Ability to manage multiple projects in a fast-paced, results-driven environment

This position is 100% onsite in our Irving, TX location

We are interested in candidates who are developing capabilities aligned with modern, forward-looking analytics practices. This includes experience or familiarity with semantic data modeling and governed metric layers, working within scalable cloud data platforms (e.g., Snowflake, Databricks), and integrating analytics within broader data engineering workflows. Exposure to emerging capabilities such as AI-assisted analysis, automated insight generation, and advanced data visualization techniques is highly valued.

WHAT’S IN IT FOR YOU:

Join Our Team & Make an Impact! At Orion180, we don’t just meet expectations, we exceed them. If you’re ready to take your career to the next level and be part of a growing, forward-thinking company, apply today!

- Dynamic Environment: On-site role with a fast-paced and collaborative team culture . Results-driven office where your contributions make a real impact.
- Compensation: Competitive base pay and performance bonuses.
- Career Growth: M entorship, growth tracks, and professional development.
- Benefits: Medical, dental, vision, 401k, paid holidays, PTO and more!

The office environment is fast-paced and collaborative.   An employee must be willing and able to work their regularly assigned work schedule onsite, and in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands.

While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (<25 lbs); and using standard office equipment such as computers, printers, and phones.  In addition, there is an occasional need to bend, twist, or squat down to open/close cabinets and reach for files or other standard office-type objects.

Orion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Reasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may email [email protected] to request assistance.