Application Development Analyst

To prepare for the transition to Florida PALM, our agency is seeking a resource knowledgeable in Snowflake
to assist in the agency s effort to modernize legacy mainframe flat file data into Snowflake-compatible data
formats. Our goal is to transform our data into actionable insights through a modern data platform, enabling
our organization to deliver true management decision support.

Our management has the vision to transform our department into a truly data driven organization and we
just need the right resource to help us execute that vision.

Primary Job Duties/ Tasks

The submitted candidate must be able to perform the following duties and/or tasks. Duties of the selected candidate will include, but not be limited to:

1. Analyze the current data environment, including data sources, pipelines, and legacy
   structures, to determine required transformations and optimal migration strategies into
   Snowflake.
2. Collaborate with stakeholders and data architects to design and implement scalable, secure,
   and cost-effective data architecture using Snowflake.
3. Re-engineer legacy reporting logic (e.g., WebFOCUS, Mainframe FOCUS, and T-SQL) by
   translating them into Snowflake SQL and optimizing performance.
4. Develop and automate ELT/ETL data pipelines using Snowflake's native features and tools
   such as Snowpipe, Streams, Tasks, Informatica, and integration with external orchestration
   tools (e.g., dbt, Airflow).
5. Partner with analysts and business users to build efficient, reusable data models and secure
   views within Snowflake that support downstream reporting (e.g., Power BI, Tableau, or
   Looker).
6. Optimize query performance and data governance by implementing best practices in
   Snowflake for security, access control, caching, clustering, and cost monitoring.
7. Support training, documentation, and knowledge transfer to internal teams, ensuring smooth
   adoption and use of Snowflake-based solutions.

Candidate must have a minimum of 8 years of experience in data engineering, analytics, or cloud data
warehousing, with at least 6 years of hands-on experience designing and implementing solutions using the Snowflake Data Cloud platform.

1. Expert level SQL programming is REQUIRED for this position.
2. Proven experience with Snowflake platform architecture and data warehousing concepts.
3. Expertise in building efficient, secure, and scalable data models in Snowflake using views, materialized views, and secure shares.
4. Strong knowledge of ELT/ETL patterns and tools (e.g., dbt, Airflow, Talend, Informatica, MS SSIS, Fivetran).
5. Solid understanding of data governance, security roles, masking policies, and RBAC within
   Snowflake.
6. Experience working with cloud storage integrations (e.g., AWS S3, Azure Blob) and external
   tables in Snowflake.
7. Familiarity with dimensional modeling (Star/Snowflake Schema), OLAP concepts, and reporting layers for BI tools
8. Strong communication and analytical skills for working with cross-functional teams and converting data requirements into technical solutions.
9. Strong understanding of current data governance concepts and best practices.
10. Knowledge of data migration best practices from external data sources and legacy systems
    (e.g., mainframe, DB2, MS SQL Server, Oracle) into Snowflake.
11. Experience with data visualization tools (Power BI, Tableau, Looker) and building BI semantic
    models using Snowflake as a backend.
12. Experience working with financial, ERP, or general ledger data in a reporting or analytics
    capacity.
13. Exposure to mainframe systems, legacy flat files, and their integration with cloud-based platforms.
14. Familiarity with Agile/SCRUM frameworks and experience working in iterative development
    cycles.
15. Experience with Oracle Data Warehouse.
16. Understanding of DevOps and CI/CD practices in data engineering (e.g., Git, dbt Cloud, or
    GitHub Actions).