Allata
Overview
Lead Data Engineer (Fabric) at Allata. We are seeking a skilled Lead Data Engineer to contribute to transformative enterprise data platform projects focused on developing data pipelines and logic engines to manage ingest, staging, and multi-tier data product modeling. Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our agile, cross-functional teams work closely with clients to deliver measurable results and build lasting partnerships. Role & Responsibilities
Design and implement data pipelines using Microsoft Fabric’s integrated tools (Data Factory, Pipelines, Dataflows Gen2, etc.) Work with Lakehouses and Delta tables to support 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 use cases Collaborate with analysts, data scientists, and business users to understand data needs and deliver reliable, governed data products Ensure data quality, lineage, and compliance with security and governance policies Monitor and optimize performance and cost of data workflows Hard Skills - Must Have
Experience in data engineering, with at least 1 year working directly with Microsoft Fabric (or deep experience in Synapse + Data Factory + Power BI prior to 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 (on-prem, cloud, APIs) Soft Skills / Business Specific Skills
Ability to identify, troubleshoot, and resolve complex data issues effectively Strong teamwork, communication skills and intellectual curiosity to work collaboratively and effectively with cross-functional teams Commitment to delivering high-quality, accurate, and reliable data products solutions Willingness to embrace new tools, technologies, and methodologies Innovative thinker with a proactive approach to overcoming challenges Equal Opportunity
Allata values diversity and is an equal opportunity employer. We celebrate differences and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender identity, gender expression, marital status, disability or any other legally protected category. This policy applies to all terms and conditions of employment. Senioriry level
Not Applicable Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Lead Data Engineer (Fabric) at Allata. We are seeking a skilled Lead Data Engineer to contribute to transformative enterprise data platform projects focused on developing data pipelines and logic engines to manage ingest, staging, and multi-tier data product modeling. Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our agile, cross-functional teams work closely with clients to deliver measurable results and build lasting partnerships. Role & Responsibilities
Design and implement data pipelines using Microsoft Fabric’s integrated tools (Data Factory, Pipelines, Dataflows Gen2, etc.) Work with Lakehouses and Delta tables to support 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 use cases Collaborate with analysts, data scientists, and business users to understand data needs and deliver reliable, governed data products Ensure data quality, lineage, and compliance with security and governance policies Monitor and optimize performance and cost of data workflows Hard Skills - Must Have
Experience in data engineering, with at least 1 year working directly with Microsoft Fabric (or deep experience in Synapse + Data Factory + Power BI prior to 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 (on-prem, cloud, APIs) Soft Skills / Business Specific Skills
Ability to identify, troubleshoot, and resolve complex data issues effectively Strong teamwork, communication skills and intellectual curiosity to work collaboratively and effectively with cross-functional teams Commitment to delivering high-quality, accurate, and reliable data products solutions Willingness to embrace new tools, technologies, and methodologies Innovative thinker with a proactive approach to overcoming challenges Equal Opportunity
Allata values diversity and is an equal opportunity employer. We celebrate differences and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender identity, gender expression, marital status, disability or any other legally protected category. This policy applies to all terms and conditions of employment. Senioriry level
Not Applicable Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr