Job Description:

Position Description:

Builds enterprise customer data lake platforms and assists business users with their use cases. Collaborates closely with the architects to design and build enterprise data lake platforms in cloud environments, leading migration and decommission activities, and providing critical insights for platform migration and architectural design. Collaborates with data scientists to be able to query data in a cloud environment. Facilitates the end-to-end migration of the clickstream data ingestion process, including decommissioning the current on-premise log ingestion process and migrating to near real-time ingestion process using data frameworks. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.

Primary Responsibilities:

• Participates in architecture design teams. Provide critical insights and expertise in platform migration and the design of new architectural solutions.
• Defines and implements application-level architecture.
• Develops applications on complex projects, components, and subsystems for the division.
• Recommends development testing tools and methodologies and reviews and validates test plans.
• Responsible for QA readiness of software deliverables.
• Develops comprehensive documentation for multiple applications or subsystems.
• Establishes full project life cycle plans for complex projects across multiple platforms.
• Responsible for meeting project goals on-time and on-budget.
• Advises on risk assessment and risk management strategies for projects.
• Plans and coordinates project schedules and assignments for multiple projects.
• Acts as a primary liaison for business units to resolve various project/technology issues.
• Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.
• Advises senior management on technical strategy.
• Mentors junior team members.
• Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives.
• Develops original and creative technical solutions to on-going development efforts.
• Drives innovation and best practices in data analytics to enhance efficiency and business impact.

Education and Experience:

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

Or, alternatively, Master’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field and three (3) years of experience as a Principal Software Engineer/Developer (or closely related occupation) building large-scale data analytics 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 and EKS; maintaining Continuous Integration/Continuous Delivery (CI/CD) pipelines for application code using Jenkins, Stash, and 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, and 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.

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Certifications:

Category:

Information Technology

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

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.