Senior architecture architect

Senior Solutions Architect

We currently have a great opportunity available for a Senior Solutions Architect. The Senior Solution Architect serves as a versatile technical leader who bridges specialized data architecture expertise with comprehensive solution design capabilities across the enterprise technology landscape. This role combines deep knowledge of data infrastructure, engineering, and analytics with the strategic vision required to architect, evaluate, and guide end-to-end technology solutions. The ideal candidate demonstrates both the ability to architect complex data ecosystems and the versatility to provide valuable insights across the full spectrum of enterprise technology solutions.

Translate complex business requirements into technically sound, scalable solutions that align with enterprise architecture principles while optimizing for performance, cost, and maintainability

Evaluate and review solution architectures at conceptual, logical, and physical levels, ensuring alignment with enterprise standards while participating as an active member of the Architecture Review Board (ARB)

Serve as technical advisor across concurrent projects spanning cloud, applications, data, and DevOps initiatives, guiding development teams through solution implementation while maintaining architectural integrity

Design and implement scalable data infrastructure (data lakes, warehouses, streaming) and develop robust data pipelines and ETL/ELT processes using DevOps practices

Architect and implement LLM-based solutions, including RAG systems and vector databases

Contribute technical expertise to enterprise data governance initiatives, providing architectural guidance for quality standards, security protocols, and compliance requirements

Evaluate and recommend optimal architecture patterns (microservices, serverless, event-driven) while balancing performance, scalability, and cost efficiency to maximize ROI

Lead technology evaluation and proof-of-concept initiatives to assess emerging tools, platforms, and frameworks for enterprise adoption

Other related duties and projects as may be assigned by leadership

Percentage of Travel: 10%

7+ years of architecture experience and Bachelor's degree in computer science, information systems, engineering, data science, or related technical field required.

• Must possess deep expertise in modern data platforms, cloud architecture, and AI/ML technologies, coupled with the business acumen to articulate technical solutions as business value. Cloud architecture certifications (AWS Solutions Architect Professional, GCP Professional Cloud Architect, etc.), data-specific certifications (AWS Data Analytics, GCP Data Engineer, Databricks/Snowflake)
• Excellent written and verbal communication skills in English required
• Ability to create clear technical documentation, deliver executive-level presentations, and facilitate architecture discussions across technical and non-technical stakeholders
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), including compute, storage, networking, and managed data services
• Proficiency in programming languages, including Python and SQL, with working knowledge of Java, Scala, or similar
• Strong expertise with data platforms such as Snowflake, Databricks, or BigQuery, or data transformation tools like DBT (data build tool)
• Working knowledge of AI/ML frameworks, including LLMs, vector databases, and ML platforms preferred
• Demonstrated ability with relational (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), and graph database technologies
• Experience with infrastructure and DevOps tools, including Docker, Kubernetes, Terraform, Git, and CI/CD pipelines preferred
• Solid experience with BI/analytics platforms such as Tableau, Power BI, for visualization and reporting
• Proficient in architecture documentation tools (Draw.Effective use of collaboration platforms, including Jira, Confluence, MS Teams, and agile project management tools
• Strategic thinker with hands-on capabilities who seamlessly shifts from enterprise architecture to technical implementation
• Expertise in data engineering best practices including DataOps, pipeline orchestration, and data quality patterns preferred
• Experience with data governance frameworks (DAMA-DMBOK, data cataloging, lineage) preferred
• Drive technical decisions through comprehensive analysis of trade-offs and risks
• Champion architectural best practices while adapting to project-specific needs

Within this range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. The total compensation package for this position also includes a choice of health care plan (medical, vision, and dental insurance), an annual incentive bonus, paid time off, parental leave, bereavement leave and a 401(K) for all eligible employees.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex, sexual orientation, gender identity or expression, color, religion, national origin, genetics, disability status, protected veteran status or any other characteristic protected by law.