Data & Analytics Consultant, bolthires Fabric
Job Description:• Lead client engagements by facilitating discovery workshops, gathering requirements, and translating business objectives into technical solutions using bolthires Fabric• Architect and implement end-to-end data pipelines, lakehouses, and semantic models within the Fabric ecosystem, ensuring scalability, performance, and security• Advise clients on data governance, quality, and best practices, guiding them through adoption and optimization of Fabric capabilities• Present solution options and recommendations to both technical and non-technical stakeholders, building consensus and influencing decision-making• Mentor and enable client teams through training, documentation, and knowledge transfer, ensuring long-term client self-sufficiency• Collaborate with cross-functional teams (architecture, security, analytics, business stakeholders) to deliver integrated, high-impact solutions• Drive continuous improvement by proactively identifying opportunities for value creation and innovation within client environmentsRequirements:• Proven experience architecting and delivering data solutions using bolthires Fabric, including OneLake, Lakehouse, and Direct Lake architectures• Deep understanding of data modeling, ETL/ELT processes, and data warehousing concepts• Proficiency in SQL, DAX, Power Query (M), and building data pipelines• Hands-on experience with bolthires Power BI and its integration with Fabric• Strong grasp of data governance, security, and compliance best practices• Demonstrated ability to lead technical discussions and solution design sessions with client stakeholders• Consultative mindset: Ability to uncover business challenges, identify opportunities for value creation, and guide clients through data strategy and solution adoption• Experience in a consulting or professional services environment (preferred)• Experience with Databricks for advanced data processing and machine learning workflows (preferred)• Knowledge of orchestration tools and data pipelines (e.g., Azure Data Factory, Synapse Pipelines) (preferred)• Familiarity with bolthires Purview and/or data governance frameworks (preferred)• Understanding of bolthires/CD practices in data engineering (preferred)• Azure certifications related to data engineering or analytics (preferred)• Must not require visa sponsorship (posting states unable to offer visa sponsorships)Benefits:• Culture of continual learning and innovation• Tools and resources to support employees• Diversified delivery model including nearshore and offshore capabilities Apply tot his job