Position Summary: 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:
- 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
- Lead the design and modernization of Azure-based and hybrid data ecosystems
- Define reference architectures for Snowflake, Azure Data Lake, and Power BI-enabled analytics environments
- Translate strategic business goals into multi-year architecture roadmaps in partnership with business and technology leaders
- Oversee solution design reviews, architecture documentation, and implementation guidance for critical data initiative.
- Provide technical leadership and mentorship to data engineers, architects, and business intelligence professionals
Core Competencies:
- Ability to Analyze and Solve Problems: Skill in recognizing challenges, exploring options, and implementing effective solutions in a timely manner
- Attention to Detail: A strong focus on completing tasks and projects accurately and thoroughly
- Communication Skills: Capable of expressing ideas clearly in both verbal and written forms and engaging with various audiences
- Timely Task Completion: Ability to finish tasks and projects efficiently, managing resources and priorities effectively
- Team Collaboration: Willingness to work together with others, promoting teamwork and supporting shared goals
- Client Focus: Dedication to understanding and addressing the needs of clients and stakeholders to ensure their satisfaction
- Dependability: Acknowledgment of the importance of being present and punctual
- Creative Thinking: Openness to suggesting new ideas and methods to improve processes and outcome
- Organizational Skills: Capability to prioritize tasks and manage multiple projects simultaneously
- Adaptability: Willingness to adjust to changing situations and priorities, showing resilience in a dynamic work environment
Experience and Education:
- 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
Systems:
- Proficient with Microsoft Office Suite
- 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:
- 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
- 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.
Equal Opportunity EmployerThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- 15+ years of experience in data architecture, data engineering, or enterprise data management
- Deep expertise in enterprise data modeling, Snowflake architecture
- Strong knowledge of Azure cloud data architectures, Azure Data Lake
- Experience with Microsoft Power BI
- Knowledge of data governance tools and architecture frameworks
- Ability to influence executive stakeholders
Higginbotham Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Higginbotham and has not been reviewed or approved by Higginbotham.
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Healthcare Strength — Health coverage is positioned as comprehensive, with extensive insurance options and access to high-quality plans at competitive rates. Employer contributions toward medical premiums and additional coverage options are described as part of the package.
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Equity Value & Accessibility — Employee ownership is highlighted as a notable component of total rewards, framed as an “owner” model with potential long-term upside. Stock programs, grants, profit units, or similar participation are described as part of compensation for some roles.
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Leave & Time Off Breadth — Paid time off is repeatedly positioned as a strength, including references to strong PTO and time to support community involvement. A flexible work environment and some hybrid flexibility are also described as part of the overall rewards experience.
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