What does a successful Director of Data Engineering do at Fiserv?
By taking ownership of the large-scale data engineering, integration and warehousing projects within Fiserv’s Enterprise Data Commerce Solutions division you will build custom integrations between cloud-based systems using APIs and write complex and efficient queries to transform raw data sources into easily accessible models by using the Data integration tool with coding across several languages such as Java, Python, and SQL. Additional responsibilities can be to Architect, build, and launch new data models that provide intuitive analytics to the team and Build data expertise and own data quality for the pipelines you create.
What you will do:
- Lead a team of data engineers to design, develop, and maintain scalable data pipelines and infrastructure
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
- Drive best practices for data engineering, including data quality, reliability, and performance optimization
- Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and development
- Ensure adherence to industry best practices, coding standards, and software development methodologies to deliver high-quality and scalable software solutions
- Monitor and analyze software development metrics and key performance indicators (KPIs) to track team productivity, efficiency, and code quality
What you will need to have:
- 7+ years of experience in a senior leadership role within software development or software engineering.
- 7+ years of experience in software development methodologies, such as Agile, Scrum, or Kanban, and experience in transitioning teams to these methodologies.
- 5+ years of strong technical expertise in software architecture, design patterns, and modern software development languages and frameworks.
- 5+ years of experience understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL, and NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic search experience
- 5+ years of experience with cloud platforms and services such as AWS, Azure, or Google Cloud Platform, and knowledge of deploying and managing APIs in a cloud environment
- Bachelor’s degree in computer science, or a related field, or an equivalent combination of education, work, and/or military experience
What would be great to have:
- Exposure to Big Data tools and solutions
- Exposure to relational modeling, dimensional modeling, and modeling of unstructured data
- Experience in design and architecture review in the banking and financial domains
- Proficiency with solutions for processing large volumes of data, using data processing tools and Big Data platforms
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