Data Solutions Architect
New
P
ProtectiveInsurance Financial Services
Birmingham, AL / Work From Home / Nebraska - VirtualFull-TimeSenior
Salary$124,500 - $170,000 a year
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Job Details
- Required Skills
- Business IntelligenceCloud ComputingData engineeringData modeling
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.
- Significant progressive experience in data engineering, data architecture, or solution architecture.
- Substantial time spent in a senior technical or architect-level capacity.
- Proven track record serving as a technical leader or design authority on data initiatives spanning multiple teams.
- Experience designing data solutions supporting analytics, reporting, or AI/ML use cases.
- Hands-on experience with cloud data platforms and modern data technologies.
- Demonstrated ability to influence technical direction and drive the adoption of standards across teams.
- Experience partnering directly with business leadership to frame trade-offs and investment decisions.
- Strong communication skills for presenting to senior leadership and explaining concepts to non-technical stakeholders.
- Experience mentoring engineers or other architects.
- Preferred: Experience in financial services, insurance, or regulated industries.
- Preferred: Familiarity with data governance, security, and compliance requirements.
- Preferred: Background working in agile or product-oriented delivery models.
Responsibilities
- Set technical direction and establish patterns and reference designs for data solutions across domains.
- Serve as design authority for significant data initiatives, reviewing and approving designs proposed by delivery teams.
- Partner with business stakeholders to translate objectives into clear technical requirements for data, reporting, and analytics.
- Design and implement end-to-end data solutions including data warehouses, data lakes, and pipelines.
- Promote reusable, scalable data patterns to reduce point-to-point integrations and support downstream AI and BI platforms.
- Mentor data engineers and junior architects while driving technical capability across the organization.
- Collaborate with enterprise architecture, security, and governance teams to ensure compliant, scalable, and resilient designs.
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