Senior Consultant – Data Platforms

Fortified Data

. 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 .

Posted 10/9/2026full-timeRemote • North Carolina • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data engineering and data warehousing, with a strong focus on cloud data platform projects, data modeling, and client-facing consulting. Proven ability to lead technical discovery, solution design, and mentoring of teams while optimizing data architectures and governance practices.

Highest-signal resume keywords

Data Warehouse ImplementationCloud Data Platform ProjectsSQL and Python SkillsClient-Facing ConsultingData Modeling Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingDatabase ArchitectureDimensional ModelingETL ProcessesData GovernanceQuery TuningData MigrationAI ReadinessCost Optimization

Soft Skills

MentoringLeadershipCommunicationProblem-SolvingCollaboration

Tools & Technologies

DatabricksSnowflakeMicrosoft FabricAzure Data ServicesAzure Data FactoryFabric Data FactoryDbtUnity CatalogMicrosoft PurviewAWS Data Services

Certifications & Qualifications

Professional-Level Databricks CertificationSnowflake CertificationMicrosoft Fabric Certification

Industry Keywords

Data LakehouseCloud MigrationManaged ServicesThought LeadershipData Quality

Tech Stack

Tools & technologies

AWSAzureCloudETLOraclePySparkPythonSQLSSISUnity

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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