Senior Data Architect

🕒 May 21

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Higginbotham

1001 - 5000 employees

Founded 1948

🤝 B2B

👥 HR Tech

💰 $20.7M Series unknown on 2015-01

B2B • Financial • HR Tech

Higginbotham is a private, employee-owned insurance brokerage and advisory firm that provides comprehensive insurance, employee benefits, HR and financial services to businesses and individuals. The company offers commercial and specialty industry insurance, risk management and claims advocacy, employee benefits and retirement plan administration, HR outsourcing and technology, and personal insurance solutions. Higginbotham emphasizes personalized service, community engagement, and long‑term partnerships, delivering tailored plans, consulting, and ongoing support to help clients manage risk and financial planning.

📋 Description

• Lead the design and evolution of our enterprise data architecture • Define and lead enterprise data architecture strategy across Azure data platforms, Snowflake, Azure Data Lake, analytics, and integration services • Design scalable, secure, and high-performance data models, pipelines, and platform architectures aligned to business and technical requirements • Establish architecture standards, governance frameworks, and best practices for data quality, lineage, security, and lifecycle management • Oversee solution design reviews, architecture documentation, and implementation guidance for critical data initiatives • Provide technical leadership and mentorship to data engineers, architects, and business intelligence professionals

🎯 Requirements

• 15+ years of experience in data architecture, data engineering, or enterprise data management • Deep expertise in enterprise data modeling, Snowflake architecture, and large-scale Azure data platform design • Strong knowledge of Azure cloud data architectures, Azure Data Lake, and modern integration patterns • Demonstrated experience defining governance, metadata, master data, and data quality frameworks • Advanced SQL, database design, and performance optimization skills • Experience with Microsoft Power BI and aligning architecture to reporting and decision support needs • Strong understanding of security, compliance, and risk considerations across Azure and Snowflake enterprise environments • Knowledge of data governance tools, architecture frameworks, and industry best practices, preferred • Demonstrated ability to influence executive stakeholders and shape long-term enterprise data and analytics strategy, preferred

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities

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