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Lead Data Engineer (Fabric)

Global consulting and technology services firm helping organizations accelerate growth through strategy, design, and advanced technology solutions.
Data
Senior Software Engineer
Hybrid
1+ year of experience
Enterprise SaaS · AI

Job Description

Allata, a global consulting and technology services firm with offices in the US, India, and Argentina, is seeking a Lead Data Engineer to spearhead transformative enterprise data platform projects. This role focuses on developing sophisticated data pipelines and logic engines for managing data ingest, staging, and multi-tier data product modeling.

The position requires expertise in Microsoft Fabric's integrated tools and involves working with Lakehouses and Delta tables to support various data storage needs. The ideal candidate will be responsible for designing and implementing data pipelines, developing data models, and enabling both real-time and batch data processing for analytics use cases.

Key responsibilities include collaborating with cross-functional teams, ensuring data quality and compliance, and optimizing workflow performance. The role requires at least one year of experience with Microsoft Fabric or equivalent experience with Synapse, Data Factory, and Power BI.

Allata offers a dynamic work environment where diversity is celebrated and innovation is encouraged. The company helps organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. This role presents an excellent opportunity for a data professional looking to work on cutting-edge data solutions while contributing to meaningful enterprise-level projects.

The position is based in Dallas, TX, with a hybrid work arrangement, offering the flexibility of modern work culture while maintaining collaborative opportunities with the team. Join Allata to be part of a company that values technical excellence, continuous learning, and inclusive growth.

Last updated a month ago

Responsibilities For Lead Data Engineer (Fabric)

  • Design and implement data pipelines using Microsoft Fabric's integrated tools
  • Work with Lakehouses and Delta tables for structured and semi-structured data storage
  • Develop and maintain data models and transformations using Fabric's SQL and Spark engines
  • Enable real-time and batch data processing for analytics and reporting
  • Collaborate with analysts, data scientists, and business users
  • Ensure data quality, lineage, and compliance
  • Monitor and optimize performance and cost of data workflows

Requirements For Lead Data Engineer (Fabric)

  • Experience in data engineering, with at least 1 year working with Microsoft Fabric
  • Proficiency in data modeling, ETL/ELT, and working with large-scale datasets
  • Experience with Delta Lake and Lakehouse architectures
  • Strong skills in SQL, and optionally in PySpark or T-SQL
  • Familiarity with Microsoft Purview, Azure Data Lake, and Azure Active Directory integration
  • Experience integrating data from various sources
  • Strong teamwork and communication skills
  • Commitment to delivering high-quality solutions
  • Willingness to embrace new tools and technologies

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