Data Solutions Architect

🕒 September 10

🏈 Alabama, Nebraska – Remote

🏈 Alabama – Remote 🌾 Nebraska – Remote

💵 $124.5k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Protective Life

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1908

💸 Finance

🛡️ Insurance

Finance • Insurance

Protective Life is a financial services company specializing in providing affordable life insurance and annuities. The company offers a variety of insurance products such as term life, whole life, and universal life policies, as well as fixed, immediate, indexed, and variable annuities. Protective Life assists individuals in planning for their future, including retirement, estate planning, and financial protection for families. The company emphasizes its commitment to sustainability, community involvement, and helping customers achieve protection and security throughout various life stages. Protective Life is known for its strong financial foundation and is licensed to operate in all states except New York.

📋 Description

• Set and communicate technical direction for data solutions across assigned domains • Serve as design authority for significant data initiatives, reviewing and approving delivery-team designs • Drive alignment across teams and make documented architectural decisions under uncertainty • Design and implement end-to-end data warehouses, data lakes, and data pipelines • Define logical and physical data models • Select cloud platforms, database engines, and orchestration tools based on use case, scale, and cost • Translate business objectives into technical requirements for data, reporting, and advanced analytics • Explain cost, risk, time-to-value, and long-term implications of technical options • Ensure data solutions support accuracy, accessibility, governance, and regulatory compliance • Design API, service, and pipeline integration patterns • Enable analytics, BI, and AI consumption through documented data products • Shape multi-year data roadmaps and advise on build-versus-buy and platform decisions • Design secure, scalable, resilient, and monitored data environments • Mentor data engineers and less experienced architects • Lead design reviews and architecture working sessions • Create reference architectures, design patterns, decision records, and documentation • Contribute to hiring, technical assessment, and the data community of practice

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience • Significant progressive experience in data engineering, data architecture, or solution architecture, including substantial time in a senior technical or architect-level capacity • Experience serving as a technical leader or design authority on significant data initiatives spanning multiple teams or business domains • Experience designing data solutions supporting analytics, reporting, or AI/ML use cases • Hands-on experience with cloud data platforms and modern data technologies • Track record of influencing technical direction and driving adoption of standards or patterns across teams not managed • Experience partnering directly with business leadership to shape priorities, frame trade-offs, and support investment decisions • Strong communication skills for explaining technical concepts to non-technical stakeholders and presenting recommendations to senior leadership • Experience mentoring engineers or other architects • Strong understanding of modern data architectures, including data lakes, data warehouses, and streaming or batch pipelines • Ability to design solutions integrating data across multiple systems and domains • Working knowledge of cloud-native architectures, data security principles, and scalable design patterns • Preferred: experience in financial services, insurance, or other regulated industries • Preferred: familiarity with data governance, security, and compliance requirements • Preferred: experience supporting AI, machine learning, or advanced analytics solutions • Preferred: background in agile or product-oriented delivery models • Preferred: experience with enterprise architecture review boards or similar governance forums

🏖️ Benefits

• Comprehensive health, dental and vision insurance • Mental health benefits • Employee assistance program • Paid time off • Paid parental leave • Short-term disability • Cultural observance day • Contributions to healthcare accounts • Pension plan • 401(k) plan with Company matching • ProHealth Rewards wellness platform with cash rewards • Annual incentive based on individual and Company performance • Remote work options