Azure Data Platform Architect

Artifintech

Jefferson City (MO)

Vor Ort

USD 90.000 - 130.000

Vollzeit

vor 5 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a data engineering expert with deep knowledge of Microsoft data services (Azure Fabric, ADF, Synapse) to design, develop, and maintain cloud-based data pipelines and BI-ready solutions.

The role focuses on modernizing legacy ingestion, ETL/ELT processes, implementing secure data access patterns, and collaborating with data scientists and business stakeholders to deliver scalable analytics across on-prem and cloud environments.

Qualifikationen

  • 4+ years designing and implementing data warehouse and analytics solutions (on-premise and cloud).
  • 3+ years data warehousing concepts (ETL/ELT, data quality, privacy/security, MDM) with hands-on use of ADF, Data Factory, SSIS.
  • 3+ years experience with cloud data and cloud-native data lakes/warehouses; Microsoft Azure services (Fabric Lakehouse, ADF, Data Factory, Synapse).
  • 2+ years experience in Python, Scala, or Java for distributed processing and analytics (Spark).
  • Familiarity with CI/CD practices and tools such as Azure DevOps, Git, or Jenkins.

Aufgaben

  • Lead modernization of legacy data ingestion and ETL/ELT to cloud technologies (AWS/Azure).
  • Own ambiguity, navigate constraints with minimal supervision.
  • Implement data access, classification, and security patterns meeting regulatory standards.
  • Collaborate with technical teams through effective communication and collaboration.
  • Translate business requirements into scalable data solutions with stakeholders.
  • Integrate data from multiple sources into cloud architectures.
  • Work with data scientists and analysts to meet data requirements.
  • Operate in a matrixed team, sharing responsibilities across teams.
  • Perform data profiling on structured and unstructured data.
  • Design and map ETL/ELT pipelines for new or modified data streams.
  • Automate and maintain ETL/ELT processes with Databricks, ADF, SSIS, Spark, Python, Scala.
  • Identify design/development issues and propose improvements.
  • Conduct unit, system, and integration testing for ETL/ELT solutions.
  • Create documentation for data processes and architectures.
  • Monitor and optimize data pipelines and databases.

Kenntnisse

Data warehousing
ETL/ELT
CI/CD practices
Distributed processing

Tools

Databricks
Azure Data Factory
SSIS
Spark
Python
Scala

Jobbeschreibung

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a data engineering expert with deep knowledge of Microsoft data services (Azure Fabric, ADF, Synapse) to design, develop, and maintain cloud-based data pipelines and BI-ready solutions.

The role focuses on modernizing legacy ingestion, ETL/ELT processes, implementing secure data access patterns, and collaborating with data scientists and business stakeholders to deliver scalable analytics across on-prem and cloud environments.

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