Director, Architecture

Fidelity•Merrimack, NH

About The Position

Fidelity Workplace Investing (WI) is seeking an experienced data architect to support the Stock Plan Services product area. The ideal candidate will have a solid understanding of data architecture principles and data strategy development. In this role, you will be formulating and driving the data strategy to help drive modernization efforts from a data perspective. You will also be working across business units and enterprise technology teams partnering with business leaders, architecture, and engineering to influence our core and common strategy and deliver these data capabilities.

Requirements

BS or MS required
Demonstrated technology and personal leadership experience in architecting, designing, and building highly scalable transactional, analytical, and/or reporting applications
Ability to formulate data strategy, conceptual architecture and work with development teams to execute the strategy
Expertise in data management standard methodologies such as data integration, data security, data warehousing, data analytics, metadata management and data quality
Ability to evaluate, prototype and recommend emerging data technologies and platforms
Demonstrated experience developing enterprise applications and data solution in the cloud – Azure/AWS
Experience architecting large complex systems with large volume and high-performance requirements
Strong understanding of Data Modeling concepts including 3rd normal form and dimensional modeling
Expertise in relational database technologies such as Oracle and Snowflake; cloud native databases such as Yugabyte DB and Cockroach DB; and NoSQL databases such as Aerospike
Expertise in programming languages such as SQL and Python, Java a plus
ETL experience on-prem and the cloud, preferred Python, Informatica and Snaplogic
Experience with data processing concepts such as Change Data Capture, Eventing, and Streaming technologies
Analytical reporting experience, preferably Snowflake and PowerBI
Understanding of cloud concepts, specifically resiliency, scalability, and performance from a data/database perspective

Nice To Haves

Java a plus
Python, Informatica and Snaplogic preferred for ETL
Snowflake and PowerBI preferred for analytical reporting

Responsibilities

Formulate and drive the data strategy to help drive modernization efforts from a data perspective.
Work across business units and enterprise technology teams partnering with business leaders, architecture, and engineering to influence our core and common strategy and deliver these data capabilities.
Architect, design, and build highly scalable transactional, analytical, and/or reporting applications.
Formulate data strategy and conceptual architecture.
Work with development teams to execute the strategy.
Evaluate, prototype and recommend emerging data technologies and platforms.
Develop enterprise applications and data solutions in the cloud – Azure/AWS.
Architect large complex systems with large volume and high-performance requirements.
Utilize Data Modeling concepts including 3rd normal form and dimensional modeling.
Work with relational database technologies such as Oracle and Snowflake; cloud native databases such as Yugabyte DB and Cockroach DB; and NoSQL databases such as Aerospike.
Utilize programming languages such as SQL and Python, Java a plus.
Perform ETL on-prem and in the cloud.
Work with data processing concepts such as Change Data Capture, Eventing, and Streaming technologies.
Engage in analytical reporting, preferably using Snowflake and PowerBI.
Understand cloud concepts, specifically resiliency, scalability, and performance from a data/database perspective.