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Data Solutions Architect

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Job Description - Data Solutions Architect




We are looking for a Data Solution Architect in  Jefferson City, MO for an on\-site role.


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.








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