Solutions Architect

The Finance Data Solution Architect will lead the go-live and optimization of enterprise finance data products and analytics solutions. This individual will partner closely with business stakeholders, product owners, architects, and engineering teams to deliver scalable, high-performing, and maintainable data solutions that support critical finance reporting and decision-making processes. The role combines architecture leadership with hands-on technical execution and will be responsible for ensuring data products are designed for scalability, performance, governance, and long-term sustainability. Key Responsibilities • Lead architecture, design, and delivery efforts supporting finance data products and modernization initiatives. • Support successful go-live and stabilization of finance data products. • Drive post-go-live performance analysis, optimization, and continuous improvement efforts. • Lead migration of legacy V1 dependencies to modernized data products and platforms. • Support broader EW/BW migration and transformation initiatives. • Design enterprise-grade dimensional, conceptual, and logical data models aligned to finance business processes. • Review scalable data solutions using SQL, dbt, Python, and cloud-native data platform technologies. • Ensure architecture standards, design patterns, and best practices across finance data products are following client standards. • Perform solution reviews, pull request reviews, and architecture governance activities. • Partner with business and technical stakeholders to translate requirements into scalable technical solutions. • Ensure solutions adhere to enterprise governance, security, and data quality standards. • Provide technical leadership, mentoring, and guidance to engineering and delivery teams • Act with integrity, professionalism, and personal responsibility to uphold the firm's respectful and courteous work environment. Qualifications: • Experience designing enterprise-grade dimensional data models based on business processes and entities. • Strong expertise in SQL, data modeling, and dbt development. • Experience building scalable Python-based data pipelines and transformation frameworks. • Experience working with Snowflake and cloud-native data warehouse architectures. • Experience aligning conceptual and logical data models with cloud infrastructure and platform capabilities. • Experience with GitHub, pull request reviews, CI/CD pipelines, and modern software engineering practices. • Strong understanding of data warehouse modernization, ELT patterns, and analytics engineering best practices. • Experience optimizing large-scale datasets through materialization strategies, CDC patterns, query tuning, and code optimization techniques. • Experience evaluating and designing solutions that meet data security and governance requirements. • Ability to take a strategic architectural perspective while remaining hands-on when needed. • Strong communication and stakeholder management skills. • Bachelor's Degree required. • Minimum of 4-5 years' experience.

KPMG LLP ("KPMG") seeks a contractor in the United States to provide service to KPMG through one of our contracted employer/agency service providers. All applicants for any KPMG role are expected to act with integrity, professionalism, and personal responsibility to uphold the firm's respectful and courteous work environment. All applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).


Nothing herein shall be deemed to create an employer-employee relationship between contractor and KPMG, nor shall contractor be considered a representative or agent of KPMG.


KPMG LLP and its subsidiaries comply with all local/state regulations in regard to displaying pay rate ranges. The pay rate range(s) displayed is/are specifically for those contracted who will perform work in or reside in the location(s) listed, if selected for the role. Pay is determined based on a variety of factors including market data, ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD, technology), and specific location, for example. Additionally, applicants may be required to apply and become employed by a service provider utilized by KPMG, and final pay rate(s) and/or eligibility for additional benefits may be determined by such provider.


KPMG LLP, its subsidiaries, and its agency service providers (including, but not limited to, MBO Partners Inc., Magnit LLC, and TalentBurst Inc.) are equal opportunity employers/contractors. All qualified applicants are considered without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, or other legally protected status.


Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.