Data Solutions Architect

🕒 vor 3 Tagen

🏈 Alabama, Nebraska – Remote

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💵 $124.500 - $170.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 1%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Protective Life

Protective Life

1001 - 5000 Mitarbeiter

Gegründet 1908

💸 Finanzen

🛡️ Versicherung

Finance • Insurance

Protective Life ist ein Finanzdienstleistungsunternehmen, das sich auf die Bereitstellung erschwinglicher Lebensversicherungen und Annuitäten spezialisiert hat. Das Unternehmen bietet eine Vielzahl von Versicherungsprodukten an, darunter Risikolebens-, Kapitallebens- und Universal-Lebensversicherungen sowie festverzinsliche, sofort beginnende, indexgebundene und variable Annuitäten. Protective Life unterstützt Einzelpersonen bei der Planung ihrer Zukunft, einschließlich Ruhestand, Nachlassplanung und finanziellen Schutz für Familien. Das Unternehmen legt großen Wert auf seine Verpflichtung zu Nachhaltigkeit, gesellschaftlichem Engagement und der Unterstützung von Kunden, um Schutz und Sicherheit in verschiedenen Lebensphasen zu erreichen. Protective Life ist bekannt für seine starke finanzielle Basis und ist in allen Bundesstaaten außer New York lizenziert.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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

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