Senior Analytics Engineer - On-Site (Texas)

Southside Bank•Tyler, TX

4d•Hybrid

About The Position

The Senior Analytics Engineer is a senior technical role on Southside Bank’s data team, responsible for building and maintaining the Snowflake data platform supporting analytics, reporting, and AI capabilities across the organization. The position leads day-to-day work across data ingestion, dbt modeling, and data quality, and serves as the team’s primary resource for Snowflake AI and Cortex features. Platform decisions are made collaboratively, while the role has individual accountability for assigned workstreams and initiatives. The role works with business units, compliance, finance, operations, source-system owners, and teammates to understand requirements, deliver documented data models, and support dashboards and self-service analytics. It also helps maintain governance, quality, lineage, confidentiality, and compliance across the data platform and banking environment. This position is based in Tyler or Dallas–Fort Worth, Texas. Candidates must currently reside in Texas; relocation assistance and fully remote work are not available. A hybrid schedule is available, with three days in the office and two days working from home. The regular schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m. The role may require on-call availability for planned after-hours deployments, system changes, and critical project support, as well as overtime as needed. Overnight travel is minimal, up to 10%.

Requirements

Minimum of 5 years of experience in data engineering, analytics engineering, or a closely related data role.
At least 3 years of hands-on, production-level Snowflake experience.
Demonstrated experience building and maintaining production dbt projects, including models, tests, macros, and documentation.
Experience with data ingestion tools such as Fivetran, Airbyte, or comparable ELT platforms.
Deep Snowflake expertise, including virtual warehouses, Snowpipe, Streams and Tasks, RBAC, clustering, and cost optimization.
Advanced SQL skills and strong dbt proficiency, including Jinja templating, materializations, and incremental models.
Familiarity with Snowflake Cortex and AI/ML features, including LLM functions, document AI, and Snowpark.
Working knowledge of data modeling concepts, including dimensional modeling (Kimball), Data Vault, and medallion architecture.
Strong understanding of data governance, data quality, and data lineage practices.
Working knowledge of model risk management principles, including model validation, documentation, and governance requirements for financial institutions.
Familiarity with financial-institution data privacy requirements, internal data classification, and handling standards.
Excellent written and verbal communication skills, including the ability to explain technical concepts to nontechnical stakeholders.
Ability to work independently, own specific domains and initiatives, and collaborate within a small team.
Comfort working in a fast-moving, regulated environment with evolving business priorities.
Ability to develop and sustain sound working relationships and credibility at all organizational levels.
Ability to solve practical problems and work with concrete variables where standardization is limited.
Manual dexterity sufficient to reach, handle items, and work with fingers; ability to perceive attributes of objects and materials.
Ability to remain stationary for most of the workday, move about the office occasionally, operate a computer and office productivity machinery, and communicate and exchange accurate information throughout the day.
Must currently reside in the Texas area; fully remote work and relocation assistance are not available.
Must be available for on-call support for planned after-hours deployments, system changes, and critical project support as needed, and for overtime as needed.
Must be able to travel overnight up to 10% by land and/or air.

Nice To Haves

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field; equivalent work experience is considered.
Eight or more years of experience in data engineering, analytics engineering, or a closely related data role preferred.
SnowPro Core or Advanced certification is a strong plus.
Experience in banking, financial services, or a similarly regulated industry.
Python experience for data engineering, including Snowpark Python.
Experience integrating with financial data systems such as core banking, loan origination, general ledger, ACH, or wire systems.

Responsibilities

Design, build, and maintain scalable ELT pipelines using Fivetran or similar ingestion tools to bring data sources into Snowflake.
Develop and own dbt projects, including data models, tests, documentation, and semantic layer definitions.
Contribute to Snowflake architecture and maintenance, including database and schema design, RBAC, virtual warehouse management, cost governance, and performance optimization.
Lead implementation of Snowflake AI and Cortex features, including LLM-powered analytics, document intelligence, and AI-driven workflows, in partnership with stakeholders and teammates.
Partner with business units, compliance, finance, and operations to understand data requirements and translate them into documented data models.
Define and enforce data quality standards using dbt tests, pipeline monitoring, and data observability practices.
Build and maintain data lineage documentation to provide transparency and traceability across the data platform.
Evaluate and onboard data sources, working with source-system owners to ensure reliable, timely, and accurate delivery.
Support development of dashboards, self-service analytics tools, and reporting layers for business stakeholders.
Monitor Snowflake releases, dbt updates, and financial-services AI/ML developments for applicability to the Bank.
Maintain confidentiality of sensitive Bank information and comply with applicable Bank policies, audit procedures, laws, regulations, BSA/anti-money-laundering requirements, and the Bank’s Information Security Program.
Provide professional and courteous service and contribute to a positive, caring atmosphere consistent with the Bank’s mission, CORE Values, and Blue Book culture guide.
Participate in team efforts to achieve departmental and company goals and provide leadership through example and knowledge-sharing.
Comply with safety policies and report unsafe activities to a supervisor or Human Resources.
Perform additional duties as assigned or directed.