About Auxo Solutions - Now a part of Alpha FMC's Insurance Consulting Division!

Built on top-level engineering and industry knowledge, Auxo Solutions, an Alpha Group company, delivers unmatched agility, creativity, and dedication to solve tomorrow’s problems today. Founded and operated by engineers, no one has a stronger foundation than our team.

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About the role

• Describe the role and team the candidate will be joining

What you'll do

• Architect and lead enterprise-scale SQL Server 2012 to Azure SQL/Fabric Lakehouse migration initiatives, serving as technical lead for complex transformation projects
• Design comprehensive migration strategies including phased approaches, cutover plans, rollback procedures, and zero-downtime deployment patterns
• Own the design and optimization of complex ETL/ELT processes that transform legacy relational schemas into modern lakehouse data models (medallion architecture, etc.)
• Architect and develop Lakehouse-native data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support API-first data consumption patterns
• Design and own APIs and composable data services built on Fabric Lakehouse that enable modern analytics and operational applications
• Architect data governance frameworks, data quality systems, and metadata management practices for migrated and modernized data environments
• Lead technical assessments of legacy SQL Server 2012 environments; identify optimization, refactoring, and modernization opportunities
• Establish best practices for Lakehouse architecture, data modeling, security, performance tuning, and cost optimization
• Mentor junior engineers on data migration methodologies, Azure platform services, and data engineering patterns
• Serve as escalation point and technical authority for complex Data Engineering challenges
• Propose and present solution recommendations to stakeholders; offer strategic guidance on data modernization roadmaps

Qualifications

• Bachelor's Degree in Computer Science or related field; Azure Cloud Certifications strongly preferred
• At least 6 years of Data Engineering experience, with 2+ years specifically architecting and leading SQL Server migrations to cloud platforms
• Deep expertise in SQL Server 2012 architecture, performance tuning, schema design, and complex migration scenarios (dependency analysis, ETL refactoring, compatibility resolution)
• Proven experience architecting Lakehouse solutions and migrating normalized SQL schemas into lakehouse data models
• Strong proficiency in Azure Data Factory, Synapse Analytics, Azure SQL, Data Lake Storage, and Microsoft Fabric (Lakehouse, Warehouses, Pipelines)
• Demonstrated expertise designing and building APIs/data services on top of Lakehouse/Delta Lake, including real-time and batch patterns
• Advanced SQL and T-SQL optimization skills; proficiency in Python for data transformation and automation
• Expertise in dbt for dimensional modeling, data lineage, and transformation documentation
• Experience architecting Azure Infrastructure-as-Code solutions (Bicep, ARM templates, Terraform)
• Strong experience building and optimizing CI/CD pipelines for data infrastructure and data applications
• Deep knowledge of data governance frameworks, data quality patterns, security (RBAC, row-level security), and metadata management
• Experience with agile delivery on complex, multi-team external client projects
• Strong communication and presentation skills; ability to influence technical and business stakeholders

Other Info

• Candidates must be able to accommodate a working schedule of 8:30am - 5:30pm EST, Monday through Friday.
• We are unable to provide sponsorship for this position at this time.
• Benefits may include: Medical, Dental, and & Vision Insurance. Life, Short Term Disability, and Long Term Disability Insurance; accrued time off (25 days/year), paid holidays; annual target bonus; Company sponsored 401(k) plan; Monthly wellness/tech stipends.
• Position may require infrequent travel (to client sites), estimated up to 5%. This role is otherwise remote (US based).
• Successful candidates will be subject to thorough background checks, including education, employment, and physical location verifications.