Data Solutions Architect
Summary
Senior individual-contributor Data Solutions Architect at Protective, an insurance company, who designs end-to-end data solutions (warehouses, lakes, pipelines) enabling analytics, reporting, and AI across the enterprise, acting as design authority and technical leader across delivery teams in Birmingham, AL.
The Data Solutions Architect is a senior individual contributor who serves as a bridge between business strategy and technical execution, designing end‑to‑end data solutions that enable analytics, reporting, and AI use cases across the enterprise. This role combines deep data architecture expertise with solution design and technical leadership responsibilities—creating practical, scalable, and secure data solutions that translate business needs into actionable technical roadmaps.
This position is embedded closer to delivery teams, working hands‑on with business partners, engineers, and product teams to ensure data solutions are usable, compliant, and aligned to Protective’s priorities.
While this role has no direct reports, it carries significant leadership accountability. The Data Solutions Architect is expected to set technical direction, drive alignment across independent teams, and influence outcomes through expertise, credibility, and relationships rather than positional authority. Decisions made in this role shape multi‑year data investments, establish patterns adopted by multiple engineering teams, and directly affect Protective’s ability to deliver trusted data and AI capabilities at scale.
Scope and Level of Influence
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Individual contributor role with enterprise‑level impact; leads through influence, not through direct reporting relationships.
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Serves as the recognized design authority for assigned data domains and initiatives, with the standing to approve, challenge, or redirect solution designs.
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Operates with a high degree of autonomy on ambiguous, cross‑domain problems where requirements, ownership, and precedent are not yet established.
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Sets direction that is adopted by multiple delivery teams and persists well beyond the life of any single project.
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Escalates and resolves architectural disagreements across teams, bringing stakeholders to a defensible, documented decision.
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Trusted to represent the data organization in enterprise forums, executive conversations, and vendor or partner discussions.
Key Responsibilities
Technical Leadership and Direction
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Set and communicate the technical direction for data solutions across assigned domains, establishing the patterns, standards, and reference designs that other teams build against.
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Serve as design authority for significant data initiatives—reviewing, approving, and where necessary challenging designs proposed by delivery teams.
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Drive alignment across teams with competing priorities, differing technical opinions, and separate reporting lines, building consensus where possible and making clear recommendations where consensus is not reachable.
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Make and defend architectural decisions under uncertainty, documenting rationale, trade‑offs, and the conditions under which a decision should be revisited.
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Anticipate downstream technical and organizational consequences of design choices, and proactively raise risks before they become delivery problems.
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Represent data architecture positions credibly to senior technology and business leadership.
Data and System Solution Design
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Design and implement end‑to‑end data solutions, including data warehouses, data lakes, and data pipelines, to support analytics, reporting, and AI initiatives.
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Define logical and physical data models that balance business usability with technical efficiency.
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Select and apply appropriate technologies (cloud platforms, database engines, orchestration tools) based on use case, scale, and cost considerations.
Business and Technical Translation
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Partner with business stakeholders and leaders to understand objectives and translate them into clear technical requirements for data, reporting, and advanced analytics.
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Frame technical options as business decisions—articulating cost, risk, time‑to‑value, and long‑term implications so leaders can choose with confidence.
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Influence business stakeholders toward sustainable solutions, including the ability to constructively push back on requests that create long‑term cost, risk, or complexity.
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Ensure data solutions support accuracy, accessibility, governance, and regulatory compliance.
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Act as a design authority during delivery, ensuring solutions meet business intent while remaining technically sound.
Data Integration and Enablement
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Design integration patterns to move and share data across systems using APIs, services, and pipelines.
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Enable downstream consumption by analytics, BI, and AI platforms through well‑structured, well‑documented data products.
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Reduce point‑to‑point integrations by promoting reusable, scalable data patterns and driving their adoption across teams.
Strategic Data Planning
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Shape and influence multi‑year data roadmaps that prioritize high‑value use cases while avoiding data redundancy and unmanaged “data swamps.”
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Partner with platform, governance, and enterprise architecture teams to align solution designs with enterprise standards and capabilities—and to evolve those standards where they no longer serve the business.
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Identify opportunities to simplify, consolidate, or modernize existing data solutions, and build the business case needed to fund and sequence that work.
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Advise leadership on build‑versus‑buy decisions, platform selection, and the architectural implications of strategic investments.
Security, Scalability, and Reliability
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Design secure data environments that follow Protective’s security, privacy, and access‑control policies.
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Ensure solutions scale to support increasing data volumes, complexity, and business demand.
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Incorporate resiliency, monitoring, and operational considerations into solution designs.
Mentorship and Capability Building
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Mentor data engineers and less experienced architects, raising the overall design and technical judgment of the data organization.
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Lead design reviews and architecture working sessions that develop others while improving outcomes.
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Create durable artifacts—reference architectures, design patterns, decision records, and documentation—that scale the architect’s judgment beyond their personal involvement.
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Contribute to hiring, technical assessment, and the development of the broader data community of practice.
Key Capabilities
Technical Depth
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Strong understanding of modern data architectures, including data lakes, data warehouses, and streaming or batch pipelines.
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Proven ability to design solutions that integrate data across multiple systems and domains.
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Ability to translate business problems into practical technical designs without over‑engineering.
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Working knowledge of cloud‑native architectures, data security principles, and scalable design patterns.
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Comfort operating in a delivery‑oriented environment alongside engineers, analysts, and product teams.
Leadership and Influence
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Demonstrated ability to lead and drive outcomes without formal authority, earning credibility through expertise, consistency, and follow‑through.
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Skilled at building consensus among stakeholders with different priorities, incentives, and technical perspectives—and at making a clear call when consensus is not achievable.
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Able to communicate and defend technical positions effectively with audiences ranging from hands‑on engineers to senior business executives.
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Comfortable operating amid ambiguity, competing demands, and incomplete information; brings structure and direction to unclear problem spaces.
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Strong facilitation skills in design reviews, architecture forums, and cross‑functional working sessions.
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Sound judgment about when to enforce a standard, when to allow a pragmatic exception, and when to escalate.
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Genuine interest in developing others and strengthening the technical capability of the wider organization.
Qualifications
Required Qualifications
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Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
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Significant progressive experience in data engineering, data architecture, or solution architecture, including substantial time in a senior technical or architect‑level capacity.
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Demonstrated experience serving as a technical leader or design authority on significant data initiatives spanning multiple teams or business domains.
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Experience designing data solutions that support analytics, reporting, or AI/ML use cases.
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Hands‑on experience with cloud data platforms and modern data technologies.
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Proven track record of influencing technical direction and driving adoption of standards or patterns across teams the individual did not manage.
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Experience partnering directly with business leadership to shape priorities, frame trade‑offs, and support investment decisions.
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Strong communication skills with the ability to explain technical concepts to non‑technical stakeholders and to present recommendations to senior leadership.
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Experience mentoring engineers or other architects.
Preferred Qualifications
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Experience in financial services, insurance, or other regulated industries.
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Familiarity with data governance, security, and compliance requirements, including experience partnering with governance and risk functions.
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Experience supporting AI, machine learning, or advanced analytics solutions.
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Background working in agile or product‑oriented delivery models.
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Experience participating in or presenting to enterprise architecture review boards or similar governance forums.
Skills
As published by lever · 8 questions · 2 written answers
Basics
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Short answers (1)
- What is your target compensation (salary and bonus)?
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- As part of any recruiting and hiring process, Protective collects and processes personal information relating to job applicants. The Company is committed to being transparent about how it collects and uses that information and to meeting its information protection obligations. In the recruitment and hiring process the “personal information” we collect includes: General Identifying and Contact Information (e.g., name, mailing address, phone number, email address), Employment History Information, Education History Information. Please be aware that the personal information you provide during the application process may be shared internally with employees of Protective as well as our designated third-party vendors for the purposes of the recruitment and hiring process, including contacting you regarding your application and assessing your qualifications for job openings with Protective. California applicants should review the state-specific notice provided in accordance with the California Privacy Rights Act. By clicking “Consent” below you understand and freely give your consent to Protective and our designated third-party vendors collecting and processing your personal information relating to your potential employment with Protective. Applicant Notice - California: As part of Protective’s commitment to transparency related to personal information, and in order to comply with the California Privacy Rights Act (“CPRA”), we are providing you with this disclosure regarding the categories of personal information we may collect from you and the purposes for which that information may be used. Information We Collect: In the recruitment and hiring process the categories of “personal information” we collect include: General Identifying and Contact Information (e.g., name, mailing address, phone number, email address), Employment History Information, Education History Information. Use of Personal Information: The personal information we collect during the application process is used to assess your qualifications for the purposes of the recruitment and hiring process, including contacting your regarding your application and assessing your qualifications for job openings with Protective. The personal information you provide will not be “sold to” or “shared with” a third-party as those terms are defined by the CPRA. The Company will not collect additional categories of personal information or use the personal information we collect for materially different, unrelated, or incompatible purposes without providing you notice. Retention of Information: Each of the categories of information you provide are subject to our internal policies on retaining employee and applicant information. These policies are based on applicable legal retention requirements for retaining personal information of applicants and/or employees. As part of our internal policies, we have a process in place to determine when this information is no longer needed and can be disposed of in a secure manner. Additional Information: For more information on your rights under the CPRA, please see the Company’s California Privacy Rights Act Policy. optional
- Are you legally authorized to work in the United States?
- Do you now, or will you in the future, require immigration sponsorship for work authorization (e.g., H-1B)?
- Have you ever been employed with Protective or one of its affiliates?
- How did you hear about this opportunity? optional
Written answers (2)
- Do you have any family members who are employed with Protective?
- Describe a complex, enterprise-wide data architecture initiative where you served as the technical leader or design authority. How did you influence multiple teams and stakeholders without direct reporting authority, what architectural decisions did you make, and what business outcomes were achieved? (Please include the scale of the initiative, technologies involved, key challenges, and measurable results.)