Principal Full Stack Engineer

Fidelity Investments Inc.; North Carolina; On-site; USD 140,000 - 190,000; Full time

Job summary

Fidelity Investments seeks a Principal Full Stack Engineer to design and implement batch and real-time data collection solutions on AWS, Snowflake, and related technologies. This role collaborates with product managers and engineering teams to define architecture, ensuring scalability, fault tolerance, and performance for enterprise-grade data analytics platforms.

You will lead data ingestion frameworks, data modeling guidelines, and CI/CD pipelines while migrating on-premises to cloud, shaping

Qualifications

• Bachelor’s or Master’s degree with 3–5 years of principal level data/engineering experience.
• Experience building large-scale data analytics and ML solutions on AWS and Snowflake.
• Expertise in data lake strategies, ingestion and processing for personalization teams.

Responsibilities

• Plan, create, and maintain data architectures aligned with business requirements.
• Formulates dataset processes and optimized data stores.
• Designs and develops frameworks for batch and near real-time ingestion, quality checks, monitoring and reporting.
• Works with architects as SME to design new architectures.
• Writes data modelling guidelines and reviews designs.
• Automates manual tasks and eliminates manual intervention.
• Maintains existing data and processes to close dataset gaps.
• Builds data flow channels to extract, transform, load data from sources.
• Stores data in structured/unstructured formats and monitors data.
• Tracks production stability and optimizes cost.
• Facilitates data cleansing and enrichment.

Skills

Big Data architecture

AWS cloud

Data ingestion frameworks

Python

Snowflake

Kinesis

CI/CD pipelines

Unix shell scripting

Data modeling

SQL

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in Computer Science or related field

Tools

AWS (S3, EMR, Lambda, Athena, Kinesis, EKS)

Snowflake

Jenkins

Concourse

Control-M

Python

SQL

Unix shell scripts

CI/CD tooling

Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Position Description:

Designs and implements batch and real-time data collection solutions using technologies (Python, Event Collection, or similar frameworks). Collaborates with engineering team to define the overall system architecture, ensuring scalability, fault tolerance, and performance optimization. Influences and builds vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications. Evaluates trade-offs between correctness, robustness, performance, and customer impact to ensure we build the right solution.

Primary Responsibilities:

• Uses a systematic approach to plan, create, and maintain data architectures while also aligning with business requirements.
• Formulates a set of dataset process and store optimized data.
• Designs and develops generic frameworks for batch and near real-time data ingestion, data quality checks, monitoring and reporting.
• Works with architects as a subject matter expert of the current application to design new architectures for the projects.
• Writes Data Modelling standard guidelines for developers and reviews their design and architecture.
• Automates manual tasks and eliminates manual intervention.
• Supports and maintains existing data and processes to eliminate gaps in datasets.
• Supports the building of data flow channels and processing systems to extract, transform, load, and integrate data from various sources.
• Stores data in unstructured/structured formats, and manages and monitors data.
• Tracks production processes stability and ensures cost effectiveness and enhancements.
• Facilitates data cleansing, enrichment, and data quality enhancements.

Education and Experience:

Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Full Stack Engineer (or closely related occupation) building large-scale data analytics and ML solutions on AWS and Snowflake Cloud Data Warehouse.

Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Full Stack Engineer (or closely related occupation) building large-scale data analytics and ML solutions on AWS and Snowflake Cloud Data Warehouse.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise ("DE") architecting, designing, and building highly scalable Cloud-based Big Data applications according to business user requirements in AWS using S3, EMR, Lambda, Athena, Kinesis, or EKS; maintaining Continuous Integration/Continuous Delivery (CI/CD) pipelines for application code using Jenkins, Stash, or Concourse; developing Unix shell scripts; and creating Control-M jobs to automate and schedule end-to-end processes.
• DE architecting, designing, and building of real time and near real-time data ingestion frameworks for customer interactions flowing from different channels using AWS Services -- Kinesis (Stream and Firehose), Lambda, EMR, Snowflake Task, and Streams.
• DE acting as a member of a team responsible for implementing data lake strategies to leverage Snowflake as a platform for structured and semi-structured data; and building and formulating data lake design patterns for data ingestion, processing, and extraction for personalization teams using Snowflake, SQL, Python, data warehousing, or advanced data modeling techniques.
• DE performing platform migration, including seamlessly transitioning on-premise systems to AWS cloud infrastructure and end-to-end migration planning, execution, and optimization to ensure the full potential of cloud-based environments and modern data warehousing technologies.

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:

Category:

Information Technology

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. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.