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About the Role

This role is for an expert-level engineering and consulting leader who will define and manage modern data architecture solutions in Azure and Azure Fabric. The individual will directly engage clients, lead delivery, mentor others, and influence the technical direction of client projects, with deep knowledge of system optimization and data governance.

Responsibilities

• Define and implement architectural solutions that ensure the delivery speed and scalability of data pipelines, including the design and enforcement of the Medallion Architecture.
• Lead the adoption of managed and serverless cloud offerings, in Fabric and other stacks, to create performant and scalable cloud-native application solutions, leveraging lakehouses and warehouses.
• Drive best practices for advanced ETL/ELT workflows, data governance, and data quality across platforms, utilizing tools like dbt and Fivetran for orchestrating jobs and executing code from notebooks.
• Serve as a technical leader, defining and enforcing data security and access control policies across all data pipelines and platforms.
• Serve as a technical leader, ensuring robust systems across heterogeneous technology environments and BI integrations (e.g., Tableau, Looker, and Power BI).

Requirements

• Expertise and experience with Fabric and Fabric AI, including Fabric Data Pipelines, Dataflows Gen2, and Vector Indexing Strategies (eg, Azure AI Search)
• Hands-on SCD2 implementation understandings using Change Data Capture (CDC) pipeline sources
• Strong abilities supporting and directing work with data analysts, engineers, BI professionals, etc., covering: DirectLake mode, large-scale Semantic Models, Power BI, DAX optimization, Semantic Model performance tuning
• Mastery of Python and PySpark with advanced proficiency in SQL (TypeScript/JavaScript/Java a plus).
• Extensive experience designing and building robust CI/CD pipelines and managing Infrastructure as Code.
• Deep expertise in ETL/ELT process optimization, dimensional data modeling, and data security best practices.
• Expertise in Fabric (and optionally other data platforms) with and exposure to all lakehouse/warehouse functionality, services and implementation patterns.
• Experience or exposure to working with and analyzing SAP S4/HANA data
• Experience with ELT/ETL of other ERP data systems
• Serve as the key lead resource in client-facing consulting, driving customer engagement, influencing technical solutions for clients, and presenting complex architectural decisions.
• Proven ability to meaningfully and productively engage customers, influence technical direction in consulting environments, and effect successful outcomes
• Excellent verbal and written communication skills to collaborate effectively with all stakeholders and at all levels.

Skills

• Microsoft Fabric
• Fabric AI
• Fabric Data Pipelines
• Dataflows Gen2
• Vector Indexing Strategies
• Azure AI Search
• Change Data Capture (CDC)
• DirectLake mode
• Large-scale Semantic Models
• Power BI
• DAX optimization
• Semantic Model performance tuning
• Python
• PySpark
• SQL
• TypeScript
• JavaScript
• Java
• CI/CD pipelines
• Infrastructure as Code
• ETL/ELT process optimization
• Dimensional data modeling
• Data security
• Lakehouse
• Warehouse
• SAP S4/HANA data
• ERP data systems
• Databricks
• AWS
• GCP
• Snowflake
• Irely-CTRM
• legacy CTRM
• DP-600
• DP-203
• PL-300
• AZ-305
• AZ-400

Location

• Lebanon
• Switzerland
• Poland
• Germany
• Portugal
• Spain
• Italy
• Europe

Work Type

• Travel required
• In-person client engagement

Experience Level

• Expert level
• 7+ years of industry experience as a hands-on practitioner in Data Engineering
• 5+ years of experience with cloud platforms such as AWS and Azure

Education Level

• DP-600 (Microsoft Certified: Fabric Analytics Engineer Associate)
• DP-203 (Microsoft Certified: Azure Data Engineer Associate)
• PL-300 (Microsoft Certified: Power BI Data Analyst Associate)
• AZ-305 (Azure Solutions Architect Expert)
• AZ-400 (Azure DevOps Engineer Expert)

Salary/Compensations

• $8,228–$9,196 monthly

Benefits

• Flexible Schedule
• Unlimited Paid Time Off (PTO)
• Paid parental/bereavement leave
• Worldwide recognized clients to build skills for an excellent resume
• Top-notch team to learn and grow with

About the Company

• Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results.
• We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.
• Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
• We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Equal Opportunity

• Blue Orange Digital is an equal-opportunity employer.