Vice President, Data Architecture
$140,000–$285,000 year
On-siteBoston, Massachusetts, United States or Durham, North Carolina, United States
Job Summary
Lead a team of data architects to define architectural direction for AI-ready platforms and establish governance frameworks across Research, Portfolio Management, and Trading functions. Set design patterns, best practices, and guardrails for enterprise-scale data platforms encompassing ETL/ELT pipelines, data access layers, and polyglot persistence strategies. Build and develop high-performing teams through hiring, onboarding, and succession planning, while conducting technical deep dives and design reviews to unblock initiatives and validate approaches. This role supports Fidelity's Asset Management Technology group, which manages $7 trillion in assets. The position requires a full-time onsite presence as Fidelity transitions to a hybrid model.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related technical field
- 5 years leading, mentoring, and developing technical teams
- Experience building teams from the ground up or transforming underperforming teams into high-performing organizations
- Proven ability to mentor and develop architects and senior engineers
- Track record of growing individuals from mid-level to staff or principal levels
- Executive-level communication skills
- Expert-level proficiency in SQL, PL/SQL, and modern data programming languages, including Python, Scala, and Java
- Deep experience with modern data engineering toolchains, including Spark, Kafka, Airflow, dbt, Snowflake, Databricks, and cloud-native services such as AWS Glue, Lambda, Step Functions, and Kinesis
- Expertise in DataOps and continuous delivery practices for data platforms
- Understanding of infrastructure as code using Terraform or CloudFormation
- Experience with CI/CD pipelines for data workflows
- Experience with automated testing strategies for data quality, schema validation, and lineage
- Experience with observability instrumentation
- Ability to review code, conduct technical interviews, and contribute to critical implementations when needed
- Ability to maintain technical credibility through periodic hands-on work on complex problems
- Understanding of operational characteristics, failure modes, and cost implications at enterprise scale
- Experience establishing design patterns, best practices, and guardrails
- Experience establishing reference architectures and accelerators
- Experience ensuring consistency in security, observability, performance, and operational resilience
- Experience leading technical deep dives and design reviews
- Experience providing architecture expertise that unblocks teams
- Experience validating approaches
- Experience ensuring solutions meet non-functional requirements, including scalability, security, compliance, and maintainability
- Experience partnering with product management, engineering leadership, and business stakeholders
- Experience translating complex business requirements into actionable architectural roadmaps and delivery plans
- Experience building and developing high-performing data architecture teams through hiring, onboarding, career development, and succession planning
- Experience creating clear growth paths from mid-level to senior architect roles
- Experience fostering a culture of technical excellence and continuous learning
- Experience architecting and delivering high-impact solutions for complex and critical data challenges
- Experience setting architectural direction for AI-ready platforms
- Experience establishing governance frameworks that enable consistent excellence
- Experience guiding technical strategy across Research, Portfolio Management, and Trading functions
- Experience supporting $7 trillion in assets
- Experience balancing innovation with operational excellence
- Experience defining and evangelizing data architecture strategy
- Experience establishing technical direction that aligns with business objectives and drives competitive advantage
- Experience establishing design patterns, best practices, and guardrails
- Experience ensuring architectural coherence across the organization
- Experience positioning data platforms to be AI-ready with appropriate semantic and data access layers
- Experience designing and optimizing enterprise-scale data platforms encompassing ETL/ELT pipelines, data access layers, and polyglot persistence strategies
- Experience using modern cloud-native patterns
- Experience with Fidelity-preferred technology stacks
- Experience reducing time to market for teams
- Experience ensuring consistency in security, observability, performance, and operational resilience
- Experience providing architecture expertise that unblocks teams
- Experience validating approaches
- Experience ensuring solutions meet non-functional requirements, including scalability, security, compliance, and maintainability
- Experience leading a team of data architects
- Experience driving all aspects of technology planning and execution
- Experience tackling the most consequential data challenges in financial services
- Experience establishing technical direction that aligns with business objectives and drives competitive advantage
- Experience balancing innovation with operational excellence
- Experience establishing governance frameworks that enable consistent excellence
- Experience building a high-performing team of architects
- Experience guiding technical strategy across Research, Portfolio Management, and Trading functions
- Experience supporting $7 trillion in assets
- Experience setting the architectural direction for AI-ready platforms
- Experience establishing design patterns, best practices, and guardrails
- Experience ensuring architectural coherence across the organization
- Experience positioning data platforms to be AI-ready with appropriate semantic and data access layers
- Experience driving cross-functional data initiatives as a senior technical leader
- Experience partnering with product management, engineering leadership, and business stakeholders
- Experience translating complex business requirements into actionable architectural roadmaps and delivery plans
- Experience building and developing high-performing data architecture teams through hiring, onboarding, career development, and succession planning
- Experience creating clear growth paths from mid-level to senior architect roles
- Experience fostering a culture of technical excellence and continuous learning
- Experience architecting and delivering high-impact solutions for the most complex and critical data challenges
- Experience leading by example through hands-on design, prototyping, and code contributions
- Experience setting quality standards
- Experience demonstrating technical excellence to the team
- Experience designing and optimizing enterprise-scale data platforms encompassing ETL/ELT pipelines, data access layers, and polyglot persistence strategies
- Experience using modern cloud-native patterns
- Experience with Fidelity-preferred technology stacks
- Experience establishing reference architectures and accelerators that encode proven patterns for common use cases
- Experience reducing time to market for teams
- Experience ensuring consistency in security, observability, performance, and operational resilience
- Experience leading technical deep dives and design reviews for critical initiatives
- Experience providing architecture expertise that unblocks teams
- Experience validating approaches
- Experience ensuring solutions meet non-functional requirements, including scalability, security, compliance, and maintainability
- Experience with modern data engineering toolchains, including Spark, Kafka, Airflow, dbt, Snowflake, Databricks, and cloud-native services such as AWS Glue, Lambda, Step Functions, and Kinesis
- Experience with understanding of their operational characteristics, failure modes, and cost implications at enterprise scale
- Experience with Expertise in DataOps and continuous delivery practices for data platforms
- Experience with infrastructure as code using Terraform or CloudFormation
- Experience with CI/CD pipelines for data workflows
- Experience with automated testing strategies for data quality, schema validation, and lineage
- Experience with observability instrumentation
- Experience with Executive-level communication skills
- Experience with the ability to present to senior audiences
- Experience with the ability to translate complex technical concepts into business language
- Experience with the ability to articulate risk and reward trade-offs
- Experience with the ability to build consensus among stakeholders with competing priorities
- Experience with Expert-level proficiency in SQL, PL/SQL, and modern data programming languages, including Python, Scala, and Java
- Experience with the ability to review code, conduct technical interviews, and contribute to critical implementations when needed
- Experience with the ability to maintain technical credibility through periodic hands-on work on complex problems
- Experience with Deep experience with modern data engineering toolchains, including Spark, Kafka, Airflow, dbt, Snowflake, Databricks, and cloud-native services such as AWS Glue, Lambda, Step Functions, and Kinesis
- Experience with an understanding of their operational characteristics, failure modes, and cost implications at enterprise scale
- Experience with Expertise in DataOps and continuous delivery practices for data platforms
- Experience with including infrastructure as code using Terraform or CloudFormation
- Experience with CI/CD pipelines for data workflows
- Experience with automated testing strategies for data quality, schema validation, and lineage
- Experience with observability instrumentation
- Experience with The Team Fidelity's Asset Management Technology group supports the investment management business
- Experience with The Architecture team provides the technical vision and leadership for key initiatives
- Experience with helping deliver complex, critical solutions across Research, Portfolio Management, and Trading functions
- Experience with driving the technology and success of a world-class technology team
- Experience with Fidelity's Onsite Working Model
- Experience with Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles
- Experience with Currently, some roles and locations require 100% onsite presence, while others require less
- Experience with Onsite expectations are likely to evolve as the rollout continues
- Experience with This transition does not apply to fully remote roles
- Experience with The base salary range for this position is $140,000-285,000 USD per year
- Experience with Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors
- Experience with Base salary is only part of the total compensation package
- Experience with Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation
- Experience with We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home
- Experience with These benefits include comprehensive health care coverage and emotional well-being support
- Experience with market-leading retirement
- Experience with generous paid time off and parental leave
- Experience with charitable giving employee match program
- Experience with educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
- Experience with Note, the application window closes when the position is filled or unposted
- Experience with Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others
- Experience with Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories
- Experience with Certifications: Category: Information Technology
- Experience with At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want
- Experience with We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates
- Experience with We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences
- Experience with For information about working at Fidelity, visit FidelityCareers.com
- Experience with Fidelity Investments is an equal opportunity employer
- Experience with Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process
- Experience with To initiate a request for an accommodation please contact the following
- Experience with For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 2
- Experience with For roles based in Ireland: Contact AccommodationsIreland@fmr.com
- Experience with For roles based in Germany: Contact Accommodationsgermany@fmr.com
- Experience with Fidelity Privacy Policy
Desired Qualifications
- Master's degree or MBA
- Advanced degrees or certifications in Data Science, Machine Learning, or Systems Engineering
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