Senior Consultant – Data Platforms

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Lead Professional Services initiatives for the design, construction, and modernization of data warehouses and lakehouses utilizing Databricks, Snowflake, Microsoft Fabric, and Azure data services, spanning from initial discovery to final delivery.

• Design target-state data architectures, which encompass dimensional and medallion data models, ingestion and transformation methodologies, and data governance strategies.

• Oversee the migration of legacy data warehouses and reporting environments, such as SQL Server, SSIS, SSAS, and Oracle, to contemporary platforms, managing the migration strategy, risk assessment, and cutover process.

• Conduct technical discovery sessions with Account Executives, assess opportunities, and provide recommendations to both technical and business leaders of the client.

• Manage technical scoping, solution design, and effort estimations for proposals and statements of work.

• Act as a point of escalation for intricate data platform challenges.

• Establish performance and cost optimization standards, including workload sizing, query optimization, and cost governance practices.

• Mentor consultants and database administrators, reviewing their technical outputs.

• Contribute to the growth of the data platform practice through the creation of reference architectures, delivery accelerators, and scalable offerings.

• Provide guidance to clients on AI preparedness, data quality, governance, and platform suitability.

• Identify growth opportunities and collaborate with account teams and Managed Services for client support.

• Contribute to thought leadership through the creation of blog posts, webinars, and case studies.

⛳️ Requirements

• A minimum of eight years in data engineering, data warehousing, or database architecture, including at least three years in delivering cloud data platform projects.

• Experience leading the end-to-end execution of data warehouse or lakehouse implementations on Databricks or Snowflake, with practical knowledge of the other or Microsoft Fabric.

• Extensive expertise in data modeling for analytics, particularly in dimensional modeling.

• Proficient in SQL and possess strong skills in Python or PySpark.

• Proven experience migrating legacy data warehouses or ETL processes to cloud data platforms.

• Strong background with Microsoft Azure data services.

• Client-facing consulting experience, including leading discovery, scoping work, and presenting recommendations to technical and business stakeholders.

• Experience in mentoring or guiding fellow engineers in technical delivery.

• Preferred professional-level certification in Databricks, Snowflake, or Microsoft Fabric.

• Experience in a consulting firm or managed services provider is preferred.

• Familiarity with Azure Data Factory, Fabric Data Factory, or dbt is preferred.

• Experience with Unity Catalog or Microsoft Purview is preferred.

• Experience in supporting AI and machine learning workloads on modern data platforms is preferred.

• Familiarity with AWS or Google Cloud data services is preferred.

• Experience contributing to thought leadership is preferred.

• Candidates must be able to provide proof of legal working status for any employer in the U.S.

🏝️ Benefits

• Competitive compensation.

• Comprehensive health benefits.

• Retirement plan.

• Fully remote work opportunity.

• Healthy work-life balance.

• Equal opportunity employer.