Data Solutions Architect

Job Details:

Role: Data Solution Architect

Location: Jefferson City, MO – Onsite

Type: Long Term Contract

Must have Previous experience in the banking sector.

Primary Skills:  Azure Fabric, Azure Data Factory (ADF), Azure Synapse

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.