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ETL Data Architect

2 months ago

Tallahassee, United States KLC Inc Full time
Job DescriptionJob Description

KLC Consulting, Inc.

Requirement for:      Data Architects / Extract, Transform, Load (ETL) Architects (2 Positions) - Tallahassee Florida

Contact:                     Maggie Manning: 850-270-9732, MManning@klcinc.us

Client:                         Florida Department of Corrections, Office of IT, 501 South Calhoun Street, Tallahassee FL 32399

Due Date:                   November 15, 2024 by 11am EST

Term                           Through June 30, 2025, with a possible one (1) year renewal term

Location: The  work will be conducted on-site with the Department's OIT in the Carlton  Building at 501 South Calhoun Street, Tallahassee, Florida

Scope of Work/Job Characteristics

The ETL Architects will:

·         Serve as the principal line of communication for the project team;

·         Drive the development of data integration pipelines, enabling efficient, reliable access to critical data within the Correction Information Management System (CIMS) Data Warehouse/Data Lake on Azure;

·         Work with Azure Data Factory (ADF), Azure Databricks, Azure Synapse, Power BI, and Azure Purview;

·         Transform complex data into actionable insights; and

·         Ensure data integrity, security, and performance, all while meeting mission-critical needs.

NOTE: This position is designated as “essential staff” and is expected to report for duty when instructed to do so in times of emergency or potential emergency as required by section 33-208.002 (4), F.A.C.

Duties and Responsibilities

ETL Pipeline Design and Development:

·         Lead the design and development of high-performing ETL processes to integrate and transform data across disparate sources;

·         Deliver efficient, reliable pipelines that meet business needs and maintain the highest standards of security; and

·         Utilize Azure Data Factory (ADF) to automate and streamline data workflows, ensuring smooth transitions from source to target.

Data Integration and Transformation:

·         Build and manage complex ETL workflows that extract, transform, and load data for downstream analytics and reporting, ensuring data is accurate, timely, and secure; and

·         Take ownership of data quality and validation, creating resilient ETL processes that ensure only trusted data reaches its destination.

Cloud Platform Expertise:

·         Leverage the full power of the Azure ecosystem—ADF, Databricks, Synapse, and Purview—to manage and process high volumes of structured and unstructured data, delivering solutions that are scalable and performance-optimized; and

·         Integrate large datasets into Azure Synapse Analytics, enabling analytics teams to deliver data- driven insights that support the Department’s mission.

Performance Optimization:

·         Continuously optimize ETL jobs to minimize latency and maximize throughput;

·         Ensure the architecture supports fast, reliable data access for end-users and systems, meeting stringent performance metrics.

Security and Compliance:

·         Embed security and compliance best practices in every step of the ETL process;

·         Protect sensitive data by adhering to industry standards and ensuring compliance with the Department’s data governance policies; and

·         Use Azure Purview to enforce data governance, track data lineage, and ensure that data handling meets the highest standards of integrity.

Collaboration and Stakeholder Engagement:

·         Partner with cross-functional teams—data engineers, analysts, business stakeholders, and security experts—to design and implement ETL solutions that meet the department’s evolving needs; and

·         Act as a technical leader and mentor, helping guide junior team members and providing expert guidance on data processing and transformation best practices.

Documentation and Best Practices:

·         Develop and maintain clear, detailed documentation for ETL processes, ensuring the team can consistently deliver high-quality, reliable solutions; and

·         Establish and enforce best practices for data handling, ETL development, and security, driving a culture of excellence and accountability.

Submissions Must Include

1.      Candidate Resume(s) Include relevant experience, certifications, education, etc. related to the services requested in the Scope of Services

2.      Knowledge, Skills, and Abilities Matrix

3.      References

4.      Exhibit F - Resume Self-Certification Form Per the IT Staff Augmentation State Terms Contract

5.      All selected candidates are required to complete the Department's Security Awareness Training within 30 calendar days of hire.

Must Complete the following Education, Experience, and Skills Matrices

Education

Degree / Date of Graduation

University / School

A bachelor’s or master’s degree from an accredited college or university in Computer Science, Information Systems, or other related field.

 

 

Equivalent Experience

Years of Experience

Or four (4) years of equivalent work experience is required. Relevant experience in SOA architecture and Azure cloud solutions may be substituted for education on a year-for-year basis when applicable.

 

 

Preferred Certifications

Date of Certification

Trainer/Certifier

Microsoft Certified: Azure Data Engineer Associate;

 

 

Microsoft Certified: Azure Solutions Architect Expert;

 

 

Microsoft Certified: Azure Fundamentals

 

 

Databricks Certified: Data Engineer Associate.

 

 

 

Required Qualifications

Years of Experience

Year Skills Last Used

Seven (7) to 10 years of experience in ETL development and data engineering, with at least three (3) to five (5) years of hands-on experience working with already defined ADF, Azure Databricks, Azure Synapse Analytics, and Azure Purview;

 

 

Proven track record of building and optimizing large-scale ETL pipelines for high-performance, high- availability environments;

 

 

Expertise in Spark, Python, and/or Scala for large-scale data transformations;

 

 

Strong SQL proficiency and experience working with complex data structures;

 

 

In-depth knowledge of data governance, security protocols, and role-based access control (RBAC) within the Azure ecosystem; and

 

 

Ability to design ETL processes that are resilient, efficient, and fully compliant with regulatory standards.