Fidelity

Director, Software Engineering

US
AWS Shell SQL Hadoop Python Oracle
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Description

Job Description:

Position Description:

Develops application framework code in Snowflake, Oracle PL-SQL, AWS, Control-M, Unix shell scripts, Snaplogic and Dbt. Builds Big data repositories and reports platforms using Snowflake and Power BI. Builds data warehouses, data lakes and ETL/ELT solutions in an Agile environment. Analyzes, designs,  develops  and  tests complex programs uses ALM  tool – JIRA. Leads and develops high-performing team, fostering a positive work environment, handle employee relations and support talent development initiatives. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by developing complex, multi-faceted software applications. Researches and recommends new technologies in support of the strategic direction of the business unit and participates in the research and recommendation of appropriate models, methods, tools, and technologies to achieve business-unit-wide solutions.

Primary Responsibilities:

  • Translates and incorporates business vision and strategy to architectural strategy.
  • Recommendations at the functional level.
  • Participates in high-level, cross- functional architecture design teams.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on development and delivery of major technology initiatives for the business unit.
  • Consults on deployment of major project deliverables.
  • Consults on the documentation of major technology application.
  • Manage performance evaluations.
  • Contribute to strategic workforce planning.
  • Cultivate strong communication and collaboration within the team.
  • Oversees the technical implementation of cross-divisional or company architectural components.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Sets vision, goals, and direction of team/organization.
  • Plans and leads organization-wide initiatives.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Researches and recommends new technologies.
  • Works across groups to identify opportunities for organization-wide technology initiatives.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.
  • Determines technical approaches at a strategic level for the business unit.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and six (6) years of experience as a Director, Software Engineering (or closely related occupation) performing data warehouse development, data modeling, and design within the financial services industry.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and four (4) years of experience as a Director, Software Engineering (or closely related occupation) performing data warehouse development, data modeling, and design within the financial services industry.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise (“DE”) designing and developing data warehouse framework code using IBM dashDB, IBM Netezza, SQL, Oracle PL/SQL, and UNIX shell scripts; leveraging SQL-based allocation methodologies and allocation rendering tools to perform Activity-based costing; and optimizing the load and performance of large datasets in batch processes.
  • DE extracting data from OLTP data stores/flat files and loading data into warehouse environment, using ETL processing, Informatica, SQL*Loader, and external tables; using Hadoop archiv-al techniques to archive cold data from Netezza to Hadoop environment; and scheduling batch jobs using Control-M.
  • DE developing Business Intelligence solutions for reporting and data warehousing in a cost and profitability system development environment using Oracle OBIEE and Tableau tools.
  • DE designing and developing complex data processing pipelines to deliver high quality products and services, using big data technologies (Snowflake, Snowpark, Python and Snaplogic).

#PE1M2

Certifications:

Category:

Information Technology

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Fidelity
Fidelity
Asset Management Finance Financial Services Retirement Wealth Management

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