Higginbotham Logo

Higginbotham

Senior Data Architect

Posted 23 Days Ago
In-Office or Remote
Hiring Remotely in United States
Expert/Leader
In-Office or Remote
Hiring Remotely in United States
Expert/Leader
The Senior Data Architect designs scalable data architectures across Azure and Snowflake, aligning data strategies with business goals, ensuring data governance, and leading modern data initiatives. They mentor teams and oversee architecture documentation and solution design reviews.
The summary above was generated by AI

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 Employer
This 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.

Similar Jobs

2 Days Ago
Remote
United States
Senior level
Senior level
Information Technology • Consulting
Lead design and implementation of Snowflake-based data architectures; serve as primary Snowflake POC. Design performant Snowflake solutions (data sharing, clean rooms, virtual warehouses, micro-partitions, zero-copy clone, time travel, resource monitors, security). Tune SQL and queries. Work with data virtualization (Starburst, Denodo), Hadoop ecosystem, and build data lakes on Cloudera Data Platform. Strong written and verbal communication.
Top Skills: Cloudera Data PlatformDenodoHadoopSnowflakeSnowsqlSQLStarburst
5 Days Ago
In-Office or Remote
48 Locations
150K-248K Annually
Senior level
150K-248K Annually
Senior level
Cloud • Software
Lead technical architect for enterprise Agentforce engagements, designing and building complex Agentforce solutions, writing Apex/SOQL, integrating AI data stacks (RAG, vector DBs, search indexes), advising customers and internal teams, creating reference architectures, enabling employees, and feeding product/engineering with field insights while managing multiple client engagements.
Top Skills: ApexData CloudEltETLFoundational ModelsKnowledge BasesLlmsRagSales CloudSalesforce AgentforceSalesforce CRMSearch IndexesService CloudSOQLVector Databases
18 Days Ago
In-Office or Remote
Senior level
Senior level
Software
The Senior BI Data Architect will lead data platform evolution, optimizing performance, migrating legacy SQL, and building analytics frameworks. Responsibilities include designing, implementing, and maintaining data environments and collaborating with stakeholders across various departments to enhance business intelligence solutions.
Top Skills: Ci/CdDatabricksDelta LakePythonSparkSQLUnity Catalog

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account