Job Description:
• Gather customer requirements and translate functional requirements into technical solutions
• Translate complex technical concepts into actionable stakeholder insights
• Participate in architectural discussions and design reliable, secure, scalable, efficient, and cost-optimized data engineering solutions
• Design and implement Microsoft Fabric data platform architectures using OneLake, Lakehouse, Fabric Data Factory, Synapse Data Engineering, and Data Warehousing
• Develop scalable batch and streaming data ingestion, transformation, and orchestration pipelines using Fabric-native tools and Azure services
• Design Lakehouse and Warehouse models using medallion architecture and dimensional modeling best practices
• Integrate Azure Data Factory, ADLS Gen2, Azure SQL, SQL MI, and optionally Databricks
• Build Power BI semantic models and reports integrated with Fabric
• Implement CI/CD pipelines using Azure DevOps or GitHub
• Ensure data governance, security, and compliance standards
• Lead POD/team delivery and ensure high-quality, timely execution
• Mentor junior engineers and conduct knowledge-sharing sessions
• Participate in Agile ceremonies, including planning, retrospectives, and backlog grooming
• Serve as technical point of contact for stakeholders and clients
• Contribute to solution accelerators, reusable frameworks, prototypes, emerging-tool evaluations, and pre-sales activities
• Support Sales and Pre-Sales partners through technical thought leadership
Requirements:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 8 or more years of experience in Data Engineering
• At least 3 or more years in the Azure ecosystem
• Strong hands-on expertise in Microsoft Fabric, including OneLake and Lakehouse architecture, Data Factory in Fabric, Synapse Data Engineering/Data Warehousing, and Power BI integration with Fabric
• Proficiency in Python, PySpark, SQL, and Spark-based processing
• Strong experience building batch and streaming data pipelines
• Expertise in star/snowflake schemas and medallion architecture
• Experience with Azure Data Factory/Synapse Pipelines, ADLS Gen2, Azure SQL, and SQL MI
• Experience in CI/CD, version control, and DevOps practices
• Understanding of data governance, security, access control, RBAC, IAM, and encryption
• Experience working with structured, semi-structured, and unstructured data sources
• Strong problem-solving, communication, and stakeholder management skills
• Ability to work cross-functionally with product managers, business stakeholders, and engineering teams
• Passion for current cloud and AI/ML technologies and ability to evaluate and adopt emerging tools
• Microsoft certifications such as Fabric Analytics Engineer Associate, Fabric Data Engineer Associate, Azure AI Engineer Associate, or Azure Solutions Architect Expert preferred
• Experience with Databricks or Synapse Spark pools preferred
• Familiarity with real-time analytics and streaming architecture preferred
• Exposure to Purview or equivalent data governance tools preferred
• Experience building enterprise-scale data platforms preferred
• Up to 50% travel to customer sites as project needs require
Benefits:
• Medical, Dental, and Vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life and AD&D for employee and dependents)
• Short and Long-Term Disability
• Health Spending Account (HSA)
• Transportation Benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)
• Additional earnings may be available through annual bonuses and profit sharing
• Fully remote position