Lead Data Architect
Remote, ,
Engineering
Full Time,
$140000 - $160000
On-site
Other/Non Classified
Remote, ,
$140000 - $160000
Full Time,
Other/Non Classified
On-site
Engineering
Job details
We’re looking for a Lead Data Architect to lead the design and development of a modern, cloud-based data platform. This role focuses on Snowflake, data architecture, and data engineering, helping build reliable, scalable data solutions that support business operations, reporting, and advanced analytics.
This is a great opportunity for a hands-on technical leader who enjoys shaping data strategy while staying involved in engineering. You’ll have the chance to modernize legacy systems, establish best practices, mentor a data engineering team, and work closely with business and technology leaders to make data more accessible, accurate, and useful.
Required Skills & Experience
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5–10 years of experience in data architecture and data engineering, including technical leadership.
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Strong expertise in data modeling and enterprise data architecture.
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Hands-on experience with Snowflake or similar cloud data warehouses.
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Advanced SQL skills and proficiency in Python.
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Experience developing and optimizing ETL/ELT pipelines.
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Knowledge of data quality, metadata management, lineage, and governance.
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Experience mentoring engineers and communicating technical designs to senior leadership.
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Bachelor’s degree in Computer Science or a related field.
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Must be authorized to work in the U.S. without sponsorship or restrictions.
Desired Skills & Experience
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Experience in the insurance industry.
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Snowflake certification.
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Familiarity with dbt, Airflow, Azure Data Factory, or similar tools.
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Knowledge of change data capture (CDC), event-driven architecture, APIs, and data orchestration.
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Experience with master data management (MDM), canonical data modeling, and Power BI or other BI tools.
What You Will Be Doing
Tech Breakdown
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Snowflake and cloud data architecture
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SQL and Python
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ETL/ELT pipelines and data integration
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Data modeling, governance, and quality frameworks
Daily Responsibilities
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Lead the design and evolution of enterprise data architecture.
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Build scalable, automated data pipelines and modernize legacy processes.
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Establish standards for data modeling, quality, security, and governance.
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Optimize Snowflake performance, cost, and reliability.
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Design bronze, silver, and gold data layers for data ingestion and analytics.
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Mentor engineers, review technical designs and code, and guide engineering best practices.
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Partner with business, analytics, actuarial, and technology teams to deliver data solutions.
The Offer
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Competitive pay
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Health, Dental, Vision
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401K
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Hybrid
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Office located near South Station
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About Kelly
Work changes everything. And at Kelly, we’re obsessed with where it can take you. To us, it’s about more than simply accepting your next job opportunity. It’s the fuel that powers every next step of your life. It’s the ripple effect that changes and improves everything for your family, your community, and the world. Which is why, here at Kelly, we are dedicated to providing you with limitless opportunities to enrich your life—just ask the 300,000 people we employ each year.Kelly is committed to providing equal employment opportunities to all qualified employees and applicants regardless of race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or any other legally protected status, and we take affirmative action to recruit, employ, and advance qualified individuals with disabilities and protected veterans in the workforce. Requests for accommodation related to our application process can be directed to the Kelly Human Resource Knowledge Center. Kelly complies with the requirements of California’s state and local Fair Chance laws. A conviction does not automatically bar individuals from employment. Kelly participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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