Senior Data Architect

Senior Data Architect

The Senior Data Architect leads the design and evolution of our enterprise data architecture. This strategic role is accountable for defining scalable, secure, and high-performing data platforms across Azure, Snowflake, Azure Data Lake, and Microsoft Power BI, and for aligning data strategy with broader business goals. The Senior Data Architect partners with executives, business leaders, and technology teams to establish standards, mature data governance, and guide enterprise-scale data modernization and analytics initiatives.

Essential tasks include defining and leading enterprise data architecture strategy across Azure data platforms, Snowflake, Azure Data Lake, analytics, and integration services; designing scalable, secure, and high-performance data models, pipelines, and platform architectures aligned to business and technical requirements; establishing architecture standards, governance frameworks, and best practices for data quality, lineage, security, and lifecycle management; leading the design and modernization of Azure-based and hybrid data ecosystems; defining reference architectures for Snowflake, Azure Data Lake, and Power BI-enabled analytics environments; translating strategic business goals into multi-year architecture roadmaps in partnership with business and technology leaders; overseeing solution design reviews, architecture documentation, and implementation guidance for critical data initiative; and providing technical leadership and mentorship to data engineers, architects, and business intelligence professionals.

Core competencies include the ability to analyze and solve problems, attention to detail, communication skills, timely task completion, team collaboration, client focus, dependability, creative thinking, organizational skills, and adaptability.

Experience and education requirements include 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; and demonstrated ability to influence executive stakeholders and shape long-term enterprise data and analytics strategy, preferred.

Systems proficiency includes proficiency with Microsoft Office Suite and Azure – experience leading Azure cloud transformation or enterprise data modernization initiatives; familiarity with Azure Synapse, Azure Data Factory, and related modern data technologies, preferred.

Physical requirements include the ability to lift 25 pounds, repeated use of sight to read documents and computer screens, repeated use of hearing and speech to communicate on telephone and in person, repetitive hand movements, such as keyboarding, writing, 10-key, and walking, bending, sitting, reaching, and stretching in all directions.

Notice to recruiters and staffing agencies: To protect the interests of all parties, Higginbotham Insurance Agency, Inc., and our partners, will not accept unsolicited potential placements from any source other than directly from the candidate or a vendor partner under MSA with Higginbotham. Please do not contact or send unsolicited potential placements to our team members.

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