Senior Data Intelligence Solutions Architect

Q2

Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Posted
3 days ago
Closes
Aug 31, 2026

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Salary context

How this pay compares to similar roles

Similar $192k
$148k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $156,633–$227,487.

Based on 240 similar postings.

Employer

About Q2

Q2 Holdings is a cloud-based banking software company providing digital banking solutions to banks, credit unions, and alternative financial companies, including consumer and business banking platforms. Industry: Financial Technology & Digital Banking

Q2 currently has 55 open roles on FindRole.

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At a glance

TL;DR · Senior Data Intelligence Solutions Architect

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The Sr. Data Intelligence Solutions Architect role within the Employee & Experience Enablement (E3) organization at Q2 involves designing and implementing scalable data, analytics, automation, and AI-driven operational solutions to enhance visibility and decision-making across various customer experience initiatives. This strategic technical leader will work closely with cross-functional teams including Operations Support, Insights & Analytics, Engineering, Product, and executive leadership to build integrated systems that improve operational efficiency and scalability. Key responsibilities include architecting data models, integrations, and pipelines, developing AI-enabled solutions for workflow automation and trend detection, and establishing data governance standards. The ideal candidate has extensive experience in enterprise data architecture, AI-enabled operations, and analytics platforms, with proficiency in tools such as Power BI, Snowflake, SQL, Python, Azure, AWS, and GCP.

Skills

AWS Azure GCP Snowflake Power BI Tableau Python Databricks SQL Kubernetes CI/CD Data Governance APIs Workflow Automation ML Models Predictive Analytics Cloud-Based Data Platforms Enterprise Analytics Tools Data Architecture AI-Enabled Solutions Operational Analytics Platforms

What you'll do

  • Design scalable data architecture for operational reporting and workforce planning.
  • Build enterprise data models and maintain integrations across various platforms.
  • Architect AI-enabled solutions for workflow automation and trend detection.
  • Partner with Insights & Analytics to develop predictive models and dashboards.
  • Identify and implement AI and automation opportunities to improve scalability.
  • Establish data governance standards and ensure reporting consistency across functions.
  • Provide architectural leadership on AI-driven customer experience transformation initiatives.

What we're looking for

  • 12+ years experience in data architecture, AI-enabled operations, or business intelligence.
  • Proven expertise in designing enterprise data solutions and scalable reporting architectures.
  • Hands-on experience with cloud-based platforms (Azure, AWS, GCP) and analytics tools.
  • Solid understanding of enterprise system integrations, APIs, workflow automation, and operational tooling.
  • Track record of cross-functional collaboration across support, product, engineering, and executive teams.
  • Ability to translate technical concepts into business outcomes for both technical and non-technical audiences.

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