AZURE Data Solution Architect

MACHINE LEARNING TECHNOLOGIES LLC; Jefferson City (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an AZURE Data Solution Architect located in Jefferson City, MO. The ideal candidate will lead the design and development of cloud-based data solutions, ensuring compliance with industry standards.

The position requires strong expertise in Azure Data Factory, ETL/ELT processes, and significant experience with Python or Scala. This role offers an opportunity for a long-term contract with potential for extension.

Qualifications

• 4+ years of experience in designing and implementing data warehouse and analytics solutions.
• 3+ years of expertise in data warehousing concepts, including hands-on experience using relevant tools.
• 2+ years of experience in distributed processing and analytics using languages like Python or Scala.

Responsibilities

• Provide technical leadership in modernizing legacy data ingestion and databases to cloud technologies.
• Ensure compliance with regulatory standards for data access and security.
• Collaborate with stakeholders to translate business requirements into scalable solutions.

Skills

Azure Data Factory

ETL/ELT processes

Python

Scala

Data Warehousing

Cloud Data Solutions

Tools

Databricks

Azure Synapse

SSIS

Job description

Job Overview

Job ID: J52253

Job Title: AZURE Data Solution Architect

Location: Jefferson City, MO

Duration: 12 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Data Solution Architect

The ideal candidate will have a deep understanding of Microsoft data services, including Azure Fabric, Azure Data Factory (ADF), Azure Synapse, and ETL/ELT processes. This role focuses on designing, developing, and maintaining cloud-based data pipelines and solutions to drive our analytics and business intelligence capabilities.

Key Responsibilities

• Provide technical leadership in modernizing legacy data ingestion, ETL/ELT, and databases to cloud technologies (AWS/Azure).
• Demonstrate a self-driven, ownership mindset to navigate ambiguity, resolve constraints, and mitigate risks with minimal supervision.
• Implement data access, classification, and security patterns that comply with regulatory standards (PII, locational data, contractual obligations, etc.).
• Build strong relationships with technical teams through effective communication, presentation, and collaboration skills.
• Collaborate with stakeholders, business analysts, and SMEs to translate business requirements into scalable solutions.
• Integrate data from multiple sources into cloud-based architectures, collaborating with cross-functional teams.
• Work closely with data scientists, analysts, and stakeholders to meet data requirements with high-quality solutions.
• Function within a matrixed team environment, sharing responsibilities across various teams.
• Perform data profiling and analysis on both structured and unstructured data.
• Design and map ETL/ELT pipelines for new or modified data streams, ensuring integration into on-prem or cloud-based data storage.
• Automate, validate and maintain ETL/ELT processes using technologies such as Databricks, ADF, SSIS, Spark, Python, and Scala.
• Proactively identify design, scope, or development issues and provide recommendations for improvement.
• Conduct unit, system, and integration testing for ETL/ELT solutions, ensuring defects are resolved.
• Create detailed documentation for data processes, architectures, and workflows.
• Monitor and optimize the performance of data pipelines and databases.

Required Skills And Qualifications

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

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.