Senior Consultant – Data Platforms

Job not on LinkedIn

🔥 15 hours ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fortified Data

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2002

💼 Consulting

🤝 B2B

🏢 Enterprise

Consulting • B2B • Enterprise

Fortified Data is a leading database managed service provider (MSP) that delivers 24/7 Remote DBA services, emergency and on-demand DBA support, and comprehensive database consulting. They specialize in database management, performance tuning, migrations and modernization across SQL Server, MySQL, PostgreSQL, and Oracle, and provide cloud database solutions (AWS, Azure, Google Cloud), database assessments, business intelligence, and strategic database architecture. Fortified Data serves regulated and data-sensitive industries such as financial services, healthcare, education, insurance, retail, and sports/entertainment, emphasizing proactive maintenance, performance optimization, and concierge-style, B2B-focused consulting and managed services.

📋 Description

• Lead Professional Services engagements for data warehouse and lakehouse design, build, and modernization on Databricks, Snowflake, Microsoft Fabric, and Azure data services, from discovery through delivery • Design target-state data architectures, including dimensional and medallion data models, ingestion and transformation patterns, and data governance approaches • Lead migrations of legacy data warehouses and reporting environments such as SQL Server, SSIS, SSAS, and Oracle to modern platforms, owning migration approach, risk plan, and cutover • Lead technical discovery with Account Executives, qualify opportunities, and present recommendations to client technical and business leaders • Own technical scoping, solution design, and effort estimates for proposals and statements of work • Serve as escalation point for complex data platform issues • Set performance and cost optimization practices, including workload sizing, query tuning, and cost governance • Mentor consultants and DBAs and review their technical work • Help build the data platform practice through reference architectures, delivery accelerators, and repeatable offerings • Advise clients on AI readiness, data quality, governance, and platform fit • Identify expansion opportunities and partner with account teams and Managed Services on client support • Contribute to thought leadership through blog posts, webinars, and case studies

🎯 Requirements

• Eight or more years in data engineering, data warehousing, or database architecture, including at least three years delivering cloud data platform projects • Led end-to-end delivery of data warehouse or lakehouse implementations on Databricks or Snowflake, with working knowledge of the other or Microsoft Fabric • Deep expertise in data modeling for analytics, including dimensional modeling • Expert SQL skills and strong Python or PySpark skills • Experience migrating legacy data warehouses or ETL processes to cloud data platforms • Strong experience with Microsoft Azure data services • Client-facing consulting experience, including leading discovery, scoping work, and presenting recommendations to technical and business leaders • Experience mentoring or guiding other engineers on technical delivery • Professional-level Databricks, Snowflake, or Microsoft Fabric certification preferred • Experience in a consulting firm or managed services provider preferred • Experience with Azure Data Factory, Fabric Data Factory, or dbt preferred • Experience with Unity Catalog or Microsoft Purview preferred • Experience supporting AI and machine learning workloads on modern data platforms preferred • Experience with AWS or Google Cloud data services preferred • Experience contributing to thought leadership preferred • Eligible candidates must provide evidence of legal working status for any employer in the U.S.

🏖️ Benefits

• Competitive compensation • Comprehensive health benefits • Retirement plan • Fully remote role • Healthy work-life balance • Equal opportunity employer