Arkhya Tech. Inc.

Lead Data Engineer (Azure) with Strong MS Fabric Experience

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 12-month contract for a Lead Data Engineer (Azure) with strong MS Fabric experience, remote (PST hours). Requires 12+ years of IT experience, 8+ in data engineering, and 4+ in Azure stack. Databricks certification is a plus.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
January 13, 2026
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
Remote
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#Azure #Databricks #PySpark #Data Pipeline #Scala #Datasets #SQL (Structured Query Language) #ADF (Azure Data Factory) #Spark (Apache Spark) #Spark SQL #"ETL (Extract #Transform #Load)" #Data Engineering #Data Modeling
Role description
Hiring a Lead Data Engineer (Azure) with strong MS Fabric experience Title : Lead Data Engineer (Azure) with strong MS Fabric experience Location: Remote PST Hours (8 am - 5 pm PST) Job Type : Contract 12 months Key Skills: Sql, PySpark, Azure, Microsoft Fabric, ADF, and Databricks. Exp - 12+ Years About the Role: We are seeking a highly skilled and experienced Senior/Lead Data Engineer to join our dynamic team, working on challenging and multi-year data transformation projects. This is an excellent opportunity for a talented data engineer to play a key role in building innovative data solutions using Azure Native Services and related technologies. If you are passionate about working with large-scale data systems and enjoy solving complex engineering problems, this role is for you. Key Responsibilities: β€’ Data Engineering : Design, development, and implementation of data pipelines and solutions using PySpark, SQL, and related technologies. β€’ Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions. β€’ Data Warehousing: Design and implement data warehousing solutions, ensuring scalability, performance, and reliability. β€’ Continuous Learning: Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform. β€’ Mentorship: Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development. Must-Have Skills & Qualifications: β€’ Minimum 10+ years of overall experience in IT Industry. β€’ 8+ years of experience in data engineering, with a strong background in building large-scale data solutions. β€’ 4+ years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions) β€’ 1-2 years of experience in Microsoft Fabric β€’ Proven expertise in SQL for querying, manipulating, and analyzing large datasets. β€’ Strong knowledge of ETL processes and data warehousing fundamentals. β€’ Self-motivated and independent, with a β€œlet’s get this done” mindset and the ability to thrive in a fast-paced and dynamic environment. Good-to-Have Skills: β€’ Databricks Certification is a plus. β€’ Data Modeling, Azure Architect Certification