PNC ir daudzveidīgs finanšu un banku pakalpojumu uzņēmums, kas piedāvā karjeras iespējas dažādās organizācijas jomās. Tā pieeja darba videi uzsver iekļaušanu, pieejamību, daudzveidību un iesaisti kopienā, kā arī piedāvā darbā pieņemšanas iespējas studentiem, absolventiem un veterāniem. PNC arī uzsver apņemšanos nodrošināt vienlīdzīgas iespējas un ievērot nodarbinātības tiesību aktus, tāpēc tās karjeras iespējas var būt saistošas kandidātiem, kuri meklē lielu finanšu pakalpojumu darba devēju ar plašu profesionālo iespēju klāstu.
Senior Data Architect, Asset Management
Lead the modernization of PNC’s Asset Management data platforms and define enterprise data architecture. Shape lakehouse, warehouse, ETL, and analytics capabilities.
Apraksts
- Shape and govern domain data architecture for PNC’s Asset Management Group.
- Set architectural direction and define or follow target-state data platforms.
- Guide modern data ecosystems that enable data-driven business capabilities.
- Work with engineering, enterprise architecture, application development, and business teams.
- Define and maintain target architectures for analytical and operational data platforms.
- Modernize legacy platforms through lakehouse and open-data architectures.
- Plan migration paths for Hadoop analytical environments and workloads.
- Assess emerging technologies and industry developments.
- Advance data management practices, storage designs, metadata strategies, and platform operating models.
- Create architecture roadmaps that reflect business priorities and technology strategy.
- Lead architecture for analytics, operational intelligence, AI/ML, digital applications, and enterprise integration.
- Review architectures and advise delivery teams throughout solution development.
- Coordinate with Enterprise Architecture on wider technology strategy.
- Coach engineers, solution architects, and development teams.
- Build and tune complex data warehouses and scalable data and ETL architectures.
- Assess business intelligence data and recommend warehouse expansion and integration.
- Work with IT and business partners to define data warehouse architecture needs.
- Provide technical direction that supports business intelligence applications.
- Lead and advise on data warehouse delivery and integration.
- Maintain data currency, quality, and integrity.
Prasības
- A university or college degree; bachelor’s-level education is listed.
- Typically at least eight years of relevant industry experience.
- A comparable combination of education, job-specific certifications, and experience may be accepted instead of a degree.
- Strong command of distributed data platforms, large-scale data processing, and modern data architecture patterns.
- Experience leading technology modernization and setting reference architectures for enterprise data environments.
- Knowledge of data architecture, database structures, data warehousing, IT architecture, and logical data modeling.
- Certifications are often required for this role type, but none are specified for this position.
- No license requirements are listed.
- No required or preferred language assessments are listed.
- Must work in the office.
- PNC does not offer employment visa sponsorship or STEM OPT participation for this role.
Priekšrocības
- Medical and prescription coverage with a Health Savings Account option.
- Dental and vision plan options.
- Life insurance for employees and their spouses or children.
- Short- and long-term disability coverage.
- 401(k) plan with a PNC match.
- Pension plan.
- Employee stock purchase plan.
- Dependent care reimbursement account.
- Backup care for children and older adults.
- Reimbursement for adoption, surrogacy, and doula expenses.
- Education assistance, including full tuition coverage for select programs.
- Wellness program with financial incentives.
- Maternity and/or parental leave.
- Up to 11 paid holidays per year.
- Nine occasional absence days per year.
- 15 to 25 vacation days per year, based on career level.
- Performance-based incentive compensation tied to company, business, and/or individual results.