Lead Data Architect (Databricks, Python, AWS)

An enterprise level financial services firm is seeking a Lead Data Architect to support some current and upcoming data architecture/integration initiatives. This person will serve as the technical domain expert on foundational data and integration technologies to better support our business partners and development teams. This consultant will steer technology strategy direction, define target state architectures, roadmaps, and help build reference architectures/implementations. They will also be responsible for identifying and evaluating emerging technologies beneficial to this domain. This individual will play a significant role in mentoring and supporting architects and delivery teams on projects and initiatives across Capital. This is a 6-month contract will opportunity for extension. This role will be reporting to their Irvine, CA location on a hybrid basis.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

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Required Skills & Experience
- 10+ years of deep architecture and engineering expertise in: relational and NoSQL databases, data warehouse, big data/data lake, master data management, data modelling, data quality and governance, data engineering, BI reporting and analytics, data science, ML/AI, Databricks, Python, Spark, AWS, and Azure.

Databricks, Python, Spark, AWS are non-negotiable requirements
- Ability in defining, designing, and delivering enterprise-scale data strategies and data management solutions leveraging sound architecture principles, approaches, and patterns
- Applied knowledge of modern application, data, and integration architectures including domain driven design, event-driven, event streaming / streaming processing, service-based/APIs, lakehouse, data mesh, data fabric, etc.
- Ability to collaborate, partner with, and effectively influence architects and engineers to adopt/adhere to enterprise standards and deliver well-architected data-centric solutions.

Nice to Have Skills & Experience
- Financial services/asset management industry expertise

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.