Job Description
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.
Required Skills & Experience
- 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
Desired Skills & Experience
- 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
What You Will Be Doing Tech Breakdown
70% Databricks / Spark / Lakehouse Architecture
15% Cloud Messaging & DevOps Tooling
15% Data Modeling & Database Technologies
Daily Responsibilities
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
The Offer
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.
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