

Arkhya Tech. Inc.
Lead Data Engineer (Azure) with Strong MS Fabric Experience
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 13, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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 βletβs get this doneβ 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
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 βletβs get this doneβ 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






