Senior AI Data Architect

The Senior Data Architect works in all data environments which includes data design, database architecture, metadata and repository creation. The Senior Data Architect work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Are you passionate about shaping the future of finance portfolio using advanced data architecture, AI, and machine learning? Join our team as a Senior Data Architect and play a key role in designing and implementing innovative solutions that drive business value.

In this role, you will collaborate with multiple stakeholders and leverage the latest technologies to transform complex data into actionable insights for critical financial decision-making. You'll be at the forefront of our AI/ML initiatives, helping to define the data strategy and architecture for next-generation finance platforms.

The Senior Data Architect is responsible for developing blueprints for all data repositories, evaluating hardware and software platforms, and integrating systems. Translates business needs into long-term data architecture solutions. Defines, designs and builds dimensional database schemas. Evaluates reusability of current data for separate analyses. Conducts data sheering to rid the system of old, unused or duplicate data. Reviews object and data models and the metadata repository to structure the data for better management and quicker access. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction.

Design and implement enterprise-grade data architectures using Delta Lakehouse, Star Schema, and Data Lake patterns.

Define and enforce data modeling standards, metadata management, and data governance policies.

Architect and oversee ETL/ELT pipelines using Databricks Workflows, Apache Airflow, or similar orchestration tools.

Lead the integration of AI/ML models into data pipelines and ensure scalable deployment.

Collaborate with Data Engineers, Analysts, and Business Stakeholders to translate business requirements into technical solutions.

Ensure data quality, lineage, and observability across all data platforms.

Optimize performance and resolve bottlenecks in data pipelines and integration flows.

Drive CI/CD practices for data infrastructure, including version control (Git), automated testing, and deployment.

Provide architectural guidance for Azure, GCP, or other cloud platforms.

Stay current with emerging technologies and recommend strategic improvements.

Required Qualifications:

Bachelor's Degree in Computer Science, Information Technology or related field.

5+ years' proven experience as a Data Architect or in a senior data engineering role with architectural responsibilities.

Finance domain expertise.

3 years' experience in Big Data Integration & Analytics.

Strong, in-depth knowledge of Delta Lake, Databricks, Apache Airflow, Snowflake and cloud platforms (Azure or GCP).

Experience with data modeling, data warehousing, and lakehouse architectures.

3+ years' experience with AI/ML workflows and integration into data platforms.

Proficiency in DevOps practices, including CI/CD pipelines and Git-based version control.

GCP certification.

Must be passionate about contributing to an organization focused on continuously improving consumer experiences.

Preferred Qualifications:

Finance Domain Knowledge (Oracle ERP/EPM/FDI, OCI, OIC).

Work-At-Home Requirements:

Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.

A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.

Satellite and Wireless Internet service is NOT allowed for this role.

A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours: 40

Pay Range: $106,900 - $147,000 per year. This job is eligible for a bonus incentive plan.

Description of Benefits: Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 10-19-2025

Humana Inc. (NYSE: HUM) is committed to putting health first for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer: It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements.