Sr. Data Engineer II, Assoc.Dir.

Posted 8 Days Ago
Be an Early Applicant
2700, Wiener Neustadt, Niederösterreich, AUT
In-Office
185K-210K Annually
Senior level
Fintech • Software • Financial Services
The Role
Senior data engineer responsible for designing and implementing data management solutions, maintaining core data models, integrating data across databases and SaaS, supporting applications/databases, driving root cause analysis, and collaborating with business and technology to deliver secure, scalable data architectures.
Summary Generated by Built In
Job Description:

Purpose:           

Acts as a senior technical team member of data and digital solutions engineering team including custom applications, vendor applications, software-as-a-service, and other services related to data management.  As the primary overseeing data management, collaborate with technology and business to deliver solutions and provide expertise for data models, data integration, and data access.  Deliver “hands-on” development to maintain and support applications and databases.  Engage in strategic initiatives as required to meet the Bank’s business and technology objectives.

                                                                                          

Major Accountabilities:       

        

Engineer Responsibilities:
  • Contribute ideas to the maintenance of the Core Bank Data Model.
  • Based upon the Data Management Roadmap, recommend technical direction and participate in the implementation of solutions.
  • Analyze project requirements and design and implement data management solutions when required.
  • Adhere to and provide recommendation for data management practices including the proper use of standards, frameworks, and reusable components.
  • Understand and follow agile project processes as prescribed.
  • Follow and recommend improvements to existing engineering processes including source code management, secure coding standards and code review, and change management.
  • Maintain awareness of the data management tool market, new products, and product improvements.
  • Review and recommend improvements to existing data management designs.
  • Recommend solutions to improve data management.
  • Respond to customer queries and concerns in a timely fashion. Suggest new designs to eliminate future issues.
  • Provide technical support of data management solutions.
  • Perform system failure analysis and drive corrective actions. Participate in root cause analysis and suggest long term solutions.
Education/Experience/Skills/Knowledge:Education: 

Bachelor’s degree in Computer Science or related field or equivalent work experience required.


Experience:  

Minimum of three years of experience in data management in a large, regulated financial services (preferably banking) environment is required.

Skills & Knowledge:
  • Experience with hands-on requirements gathering and analysis, data modeling, development and implementation of data architectures including RDBMS and Data Lake House is required.
  • Experience with data integration involving databases and SaaS products utilizing APIs, file transfer, including ETL and ELT methods is required.
  • Amazon Web Services experience, including with RDS, Glue Databrew, S3, and Lake Formation
  • Scaled Agile / SAFe practices; Scrum master experience is a plus.
  • Understanding of operating systems, application security configurations, and best practices in Windows and UNIX environment is required.
  • Ability to take the initiative to pursue assignments, responsibilities, and support requests to a logical and final solution and to employ System Development Life Cycle (SDLC) standards is required.
  • Experience integrating with CI systems such as Bamboo, Chef and Jenkins
  • Relational Database Management Systems, such as Oracle, including PL/SQL and expert SQL
  • Experience with Application Lifecycle Management tools
  • Strong knowledge of Object-Oriented Programming (OOP) concepts and proficiency in at least one programming language.
  • Experience with cloud environments such as AWS, Google and Azure is highly desirable.
  • Ability to collaborate with teams to achieve results.
  • Excellent problem-solving and analytical skills.
  • Excellent verbal and written communication skills.
  • Ability to work effectively under pressure either independently or as a member of a team.

Salary Range: $185k - $210k

The Federal Home Loan Bank of San Francisco is committed to the principles of equal opportunity in employment (e.g., employees, applicants) and in contracting (e.g., suppliers, vendors) regardless of race, color, religion, sex, national origin, disability status, genetic information, age, sexual orientation, gender identity, status as a parent, or any other characteristic protected by law. We are committed to cultivating a workplace free of unlawful discrimination, harassment, and retaliation, and are dedicated to fostering vibrant communities by serving as a reliable source of liquidity and resources for affordable housing and economic development.

Salary ranges reflect the base salary that the Bank reasonably expects to pay for a given role and is not inclusive of annual incentive award opportunities, retirement benefits or the value of other health and welfare or other ancillary benefits. We consider many factors when determining base salaries such as individual background and experience, the competitive environment, education, particular skill set(s), and industry and institutional knowledge.

The Bank is committed to offering all team members challenging and engaging work with market competitive pay, retirement, and benefit offerings. In support of this commitment, the Bank routinely engages in market competitive benchmarking surveys and analysis to ensure our team members continue to be paid fairly and competitively.

Skills Required

  • Bachelor's degree in Computer Science or related field or equivalent work experience
  • Minimum of three years of experience in data management in a large, regulated financial services environment
  • Experience with data modeling and implementation of data architectures including RDBMS and Data Lakehouse
  • Experience with data integration involving databases and SaaS using APIs, file transfer, ETL and ELT methods
  • Amazon Web Services experience including RDS, Glue Databrew, S3, and Lake Formation
  • Experience integrating with CI systems such as Bamboo, Chef and Jenkins
  • Relational Database experience such as Oracle including PL/SQL and expert SQL
  • Understanding of operating systems, application security configurations, and best practices in Windows and UNIX
  • Experience with Application Lifecycle Management tools
  • Strong knowledge of Object-Oriented Programming concepts and proficiency in at least one programming language
  • Familiarity with Scaled Agile / SAFe practices
  • Scrum master experience
  • Experience with cloud environments such as Google Cloud and Microsoft Azure
  • Ability to follow SDLC standards, secure coding practices, source code management, and perform system failure/root cause analysis
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The Company
HQ: San Francisco, California
421 Employees

What We Do

FHLBank San Francisco is a member-driven cooperative helping local lenders in Arizona, California, and Nevada create opportunity and change lives for the better. The tools we provide foster homeownership, expand access to quality housing, seed or sustain small businesses, and revitalize whole neighborhoods.

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