Data Architect

Our client is seeking a full-time Senior Data Architect to help design and scale a modern cloud data platform supporting a growing portfolio of consumer-focused pet health and protection brands across North America. This role centers on building and optimizing a cloud-based Lakehouse environment using Azure Databricks, Spark, and broader Azure data services, partnering closely with product and engineering leadership.

This is a highly impactful, hands‑on architecture position ideal for someone who thrives in both strategic design and implementation. The team is investing heavily in building a scalable, event‑driven data foundation that supports operational workflows, analytics, and advanced modeling use cases.

This is a hybrid role in Boston.

• 10+ years of experience in data architecture and large‑scale data modeling
• Strong hands‑on expertise with Databricks and distributed processing frameworks such as Spark
• Experience implementing scalable Lakehouse or modern warehouse architectures
• Deep understanding of Delta‑based storage patterns and layered data design
• Experience building configurable ELT/ETL pipelines with support for CDC and streaming ingestion
• Proficiency in relational and non‑relational databases
• Strong background in schema design and performance tuning
• Experience working with semi‑structured and columnar file formats (JSON, Parquet, ORC)
• Experience integrating event‑driven systems using Azure messaging and serverless components
• CI/CD automation experience within cloud environments
• Knowledge of data governance, lineage tracking, and cloud security controls
• Bachelor’s degree in Computer Science, Information Systems, or related field

• Exposure to machine learning workflows within a cloud data platform
• Experience mentoring engineers and performing architectural reviews
• Experience establishing data standards and governance frameworks
• Strong collaboration skills within Agile product and engineering teams
• Broader familiarity with Azure‑native data tooling

70% Databricks / Spark / Lakehouse Architecture

15% Cloud Messaging & Dev Ops Tooling

15% Data Modeling & Database Technologies

65% Architecture & Hands‑On Development

20% Cross‑Functional Collaboration

15% Technical Leadership & Governance

• Architect and implement scalable data platform solutions in Azure
• Design and refine operational and analytical data models
• Build and integrate batch and streaming data pipelines
• Establish governance, quality controls, and platform standards
• Participate in sprint planning, estimation, and design discussions
• Conduct code reviews and mentor data engineers
• Continuously evaluate and improve tooling, automation, and deployment processes

Bonus Eligible

You will receive the following benefits:

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) (including match, where applicable)
• Paid Parental Leave
• Company‑paid Disability Coverage
• Health Savings Account (HSA)
• Flexible Spending Accounts (FSA)
• Paid Holidays
• Volunteer Time Off
• Employee Assistance Program (EAP)
• Commuter Benefits
• Pet Insurance Options
• Professional Development Opportunities

Applicants must be authorized to work in the U.S. on a full‑time basis now and in the future.