Senior Analytics Engineer - On-Site (Texas)

Southside Bank•Tyler, TX

5d•Hybrid

About The Position

The Senior Analytics Engineer is a senior technical role within Southside Bank’s data team, focused on building and maintaining the Snowflake data platform that supports analytics, reporting, and AI capabilities across the organization. The role leads day-to-day work across data ingestion, dbt modeling, and data quality, and serves as the team’s primary resource on Snowflake AI and Cortex features. Platform decisions are made collaboratively, with individual accountability for specific workstreams and initiatives. The position is based in Tyler or the Dallas–Fort Worth area of Texas. Candidates must currently reside in Texas; relocation assistance and fully remote work are not available. A hybrid schedule is offered, with three days in the office and two days working from home. The work schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., with on-call availability for planned after-hours deployments, system changes, and critical project support as needed, and availability for overtime as needed. Minimal overnight travel, up to 10%, may be required. The role works with business units, compliance, finance, and operations to translate data needs into documented models and supports dashboards, self-service analytics, and reporting. It also contributes to the architecture and maintenance of the Snowflake environment, data governance, data quality, lineage, and the evaluation of relevant platform and financial-services AI/ML developments. The position requires maintaining the confidentiality of sensitive Bank information and complying with applicable Bank policies, audit requirements, laws, regulations, and information security practices.

Requirements

Minimum of 5 years of experience in data engineering, analytics engineering, or a closely related data role; 8 or more years is preferred.
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.
Deep expertise in Snowflake, including virtual warehouses, Snowpipe, Streams and Tasks, RBAC, clustering, and cost optimization.
Advanced SQL skills and strong proficiency in dbt, including Jinja templating, materializations, and incremental models.
Experience with data ingestion tools such as Fivetran, Airbyte, or comparable ELT platforms.
Familiarity with Snowflake Cortex and AI/ML features, including LLM functions, document AI, and Snowpark.
Strong understanding of data governance, data quality, and data lineage best practices.
Working knowledge of model risk management principles, including model validation, documentation, and governance requirements applicable to financial institutions.
Familiarity with data privacy principles and requirements applicable to financial institutions, including internal data classification and handling standards.
Excellent written and verbal communication skills and ability to explain complex technical concepts to non-technical business stakeholders.
Ability to work independently and take ownership of domains and initiatives within a small, collaborative 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 handle varied situations with limited standardization.
Ability to remain stationary for most of the workday, occasionally move around the office, operate office productivity machinery, and communicate and exchange accurate information with others.
Currently reside in the Texas area; candidates outside Texas are not considered.

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.
SnowPro Core or Advanced certification.
Experience in banking, financial services, or a similarly regulated industry.
Experience with Python for data engineering tasks, including Snowpark Python.
Experience integrating and working 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 new data sources into Snowflake.
Develop and own dbt projects, including data models, tests, documentation, and semantic layer definitions.
Contribute to Snowflake architecture and maintenance, with accountability for areas such as 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 business 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 for transparency and traceability across the data platform.
Evaluate and onboard data sources, collaborating with source system owners to ensure reliable, timely, and accurate data delivery.
Support development of dashboards, self-service analytics tools, and reporting layers for Bank stakeholders.
Monitor Snowflake platform releases, dbt updates, and financial-services AI/ML developments and evaluate their applicability to the Bank.
Maintain confidentiality of sensitive Bank information and provide professional, courteous service to customers and employees.
Participate in team efforts to achieve departmental and company goals and comply with Southside Bank policies and procedures.
Comply with audit policies and procedures, applicable laws and regulations including BSA and related anti-money laundering laws, and the Bank’s Information Security Program.
Provide leadership by example and share knowledge and skills with others.
Comply with safety policies and report unsafe activities to a supervisor or Human Resources.
Perform additional duties as assigned or directed.