Principal Data Architect Chief Data Office
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
We must include sections only when posting has real, specific content. We have description (maybe About the role). Responsibilities: there is a list of duties under "In This Role, You Will". That's responsibilities. Requirements: maybe "Required Qualifications". Qualifications: "Desired Qualifications". Skills: maybe combine? Could treat "Desired Qualifications" as Skills? But we have separate sections: Requirements, Qualifications, Skills. We need to map content accordingly.
We have "Required Qualifications" bullet list (actually sentences). We have "Desired Qualifications" bullet list. We could treat Required Qualifications as Requirements, Desired Qualifications as Qualifications, and maybe Skills from those? But we could also put Skills as a subsection of Qualifications? However instructions: Use headings for those categories if content exists. We have content for Requirements (Required Qualifications). We have content for Qualifications (Desired Qualifications). Skills maybe not explicitly separate; we could omit Skills heading if no specific skills list beyond those. But we have many skill mentions in Desired Qualifications (technologies). Could treat that as Skills. But we already used Desired Qualifications as Qualifications. Might be okay to have both Qualifications and Skills sections with overlapping content? Better to follow typical pattern: Requirements = Required Qualifications, Qualifications = Desired Qualifications, Skills = maybe list of specific technologies (SQL, Python, etc.) but that's already in Desired Qualifications. Could still create Skills section extracting those technologies. However we must not invent or summarize away detail; we can list them as they appear. It's okay to extract.
Pay: we have Pay Range: $159,000.00 - $279,000.00. So we can create Pay section with that.
Schedule: we have "Ability to work a hybrid work schedule - 3 days a week on-site/in office and 2 days a week remote." Also "Ability to travel up to 10% of the time." That's schedule info. So we can create Schedule section with those points.
Benefits: we have a list of benefits. So Benefits section.
Now we need to remove boilerplate: AI insights disclaimer, equal opportunity, etc. Also remove "Job Expectations" maybe? That's part of schedule/travel. We'll include travel under Schedule.
We must not repeat job title as heading. The job title is "Principal Data Architect Chief Data Office". Not to be used as heading.
We need to preserve all substantive information. So we need to include the description paragraphs, responsibilities list, required qualifications list, desired qualifications list, benefits list, pay range, schedule/hybrid/travel.
We must not include duplicated lines. Ensure we don't repeat same sentences.
Let's extract content.
First, description paragraph(s):
"The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it." That's boilerplate; we should remove. Actually appears twice at start. Remove.
Then: "Wells Fargo is seeking a Principal Data Architect- a hands-on technologist who will shape modern data architecture across cloud and on-prem environments in a large-scale banking ecosystem. This role designs scalable patterns for application, analytics, workflow, and AI-enabled workloads while guiding the evolution of legacy systems into secure, resilient, and future-ready platforms. The ideal candidate balances strategy, design, and hands-on execution-proving concepts through code, solving complex data challenges, and influencing senior technologists. You will work across diverse systems, define architectural patterns, and enable teams to modernize data environments with practical, AI-aware solutions. This role requires deep expertise in distributed data systems, application and workflow integration, and analytic platforms, along with the ability to translate current-state constraints into forward-looking architectures. Experience using both traditional development and AI-assisted engineering tools is key. Beyond technical leadership, you will mentor teams, align architecture to business outcomes, and communicate effectively with both technical and business stakeholders. Success in this role requires driving solutions that balance innovation with measurable value, including considerations of scalability, cost (TCO), and ROI."
That's the description. We'll put that under About the role? Could be About the role. We'll use About the role
then
with that paragraph. Next responsibilities: "In This Role, You Will" followed by bullet-like sentences each starting with a verb. Let's extract each: - Act as an advisor to senior leadership to develop the architectural framework & delivery for highly complex business and technical needs across multiple groups - Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering products and solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical and inductive thinking - Provide vision, direction, and expertise to senior leadership on implementing the transformation strategy describing the current state, target state, and transition architecture - Develop and influence strategic plans, investment planning, and execution on cutover strategies to target - Strategically engage with all levels of professionals and managers across the enterprise and serve as an architectural domain expert advisor to leadership - Drive target investments towards target technologies and rationalize spend, total cost of ownership, and return on investment - Ensure applications adhere to established Wells Fargo standards, policies, methodologies, and industry best practices as it transforms toward target state architecture - Drive the definition, establishment, selection of strategic tools, and application of architecture frameworks - Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization and can influence internal and vendor roadmaps in a significant capacity We'll put each as
- inside Responsibilities section.
Next Required Qualifications: list:
- 7+ years of experience in data architecture, data engineering, database platforms, or enterprise technology roles, with significant experience in large-scale financial services or banking environments.
- 7+ years of designing enterprise-scale data architectures across hybrid cloud, public cloud, private cloud, and on-premises platforms.
- 7+ years of experience with relational, NoSQL, columnar, distributed, and shared-nothing database technologies.
We'll put under Requirements.
Desired Qualifications: many bullet-like sentences. Let's extract each line:
- Proven ability to design scalable architectures using partitioning, sharding, replication, workload isolation, horizontal scaling, and distributed processing patterns
- Experience architecting batch, streaming, event-driven, real-time, near-real-time, and API-based data integration patterns
- Strong understanding of how application workloads, analytical workloads, reporting workloads, workflow engines, and AI/ML workloads interact with enterprise data platforms
- Hands-on capability with technologies such as SQL, Python, Java, Spark, Kafka, Airflow, APIs, and modern data pipeline frameworks
- Expertise in data modeling, including conceptual, logical, physical, dimensional, canonical, domain-driven, and event-based models
- Strong knowledge of data security architecture, including encryption, tokenization, masking, access controls, entitlement models, secrets management, and audit logging
- Ability to define and evaluate non-functional technical requirements, including latency, throughput, scalability, availability, resiliency, recovery, observability, security, and maintainability
- Familiarity with designing data architectures that support AI, machine learning, feature engineering, model training, retrieval-augmented generation, vector search, and analytical workloads
- Experience developing reference architectures, reusable design patterns, platform standards, technical guardrails, and implementation blueprints
We'll put under Qualifications.
Skills: Could we extract specific technologies list? Already covered in Desired Qualifications. Might be redundant. But we could still create Skills section listing: SQL, Python, Java, Spark, Kafka, Airflow, APIs, modern data pipeline frameworks, partitioning, sharding, replication, workload isolation, horizontal scaling, distributed processing patterns, batch, streaming, event-driven, real-time, near-real-time, API-based data integration patterns, data modeling (conceptual, logical, physical, dimensional, canonical, domain-driven, event-based), data security architecture (encryption, tokenization, masking, access controls, entitlement models, secrets management, audit logging), non-functional requirements (latency, throughput, scalability, availability, resiliency, recovery, observability, security, maintainability), AI/ML support (feature engineering, model training, retrieval-augmented generation, vector search), reference architectures, reusable design patterns, platform standards, technical guardrails, implementation blueprints.
But that's basically rephrasing Desired Qualifications. Might be considered summarizing but not inventing. However we risk duplication. The instruction: "Prefer a few substantive sections over many thin ones." So maybe we should not create Skills section if content overlaps heavily with Qualifications. Better to omit Skills heading.
Thus we have sections: About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay, Schedule.
Now Benefits: list from posting:
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
We'll put each as
- .
Pay: "$159,000.00 - $279,000.00". We'll put in
. Schedule: includes: - Ability to travel up to 10% of the time. - Ability to work a hybrid work schedule - 3 days a week on-site/in office and 2 days a week remote. - This position is not eligible for Visa sponsorship (maybe not schedule but could be included? It's under Job Expectations. Might be considered metadata; we could include in Schedule or maybe drop as not schedule. The instruction: do NOT put Job ID/requisition numbers as headings — fold minor metadata into a short
or drop it. Visa sponsorship is minor metadata; we could include in Schedule section as a note or maybe drop. Since it's not schedule, maybe we drop it. But we could include in Schedule as a short note. However it's not schedule; better to drop as minor metadata. We'll keep only travel and hybrid schedule. Thus Schedule section with two bullets. Now we need to output only HTML fragment, no /, no markdown. Let's craft. We'll need to escape any special characters like & maybe use & but not necessary. We'll produce:
About the role
Wells Fargo is seeking a Principal Data Architect- a hands-on technologist who will shape modern data architecture across cloud and on-prem environments in a large-scale banking ecosystem. This role designs scalable patterns for application, analytics, workflow, and AI-enabled workloads while guiding the evolution of legacy systems into secure, resilient, and future-ready platforms. The ideal candidate balances strategy, design, and hands-on execution-proving concepts through code, solving complex data challenges, and influencing senior technologists. You will work across diverse systems, define architectural patterns, and enable teams to modernize data environments with practical, AI-aware solutions. This role requires deep expertise in distributed data systems, application and workflow integration, and analytic platforms, along with the ability to translate current-state constraints into forward-looking architectures. Experience using both traditional development and AI-assisted engineering tools is key. Beyond technical leadership, you will mentor teams, align architecture to business outcomes, and communicate effectively with both technical and business stakeholders. Success in this role requires driving solutions that balance innovation with measurable value, including considerations of scalability, cost (TCO), and ROI.
Responsibilities
- Act as an advisor to senior leadership to develop the architectural framework & delivery for highly complex business and technical needs across multiple groups
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering products and solutions that are long-term,