Service Architect

What does a successful Advisor, Data Architect do at Fiserv?
As a member of our Data Commerce Solutions group, you will build and take ownership of the design and development of data engineering projects within Fiserv’s Enterprise Data Commerce Solutions division. You will apply your depth of knowledge and expertise to all aspects of the data engineering lifecycle, as well as partner continuously with your many stakeholders daily to stay focused on common goals.

You will Lead large-scale data engineering, integration and warehousing projects, 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 include, but are not limited 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.

Provide strategic leadership and direction to the software development team, fostering a culture of innovation, collaboration, and continuous improvement.
Develop and implement a robust software development strategy aligned with the company's overall objectives and long-term vision.
Collaborate with product management to define software requirements, scope, and priorities, ensuring alignment with business goals.
Lead and guide the software development team in creating technical design specifications, architecture, and development plans for complex software projects.
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.
Manage the software development budget and resource allocation, optimizing resource utilization and capacity planning.
Foster a culture of learning and development within the team, providing coaching, mentoring, and professional growth opportunities to team members.
Identify and mitigate potential risks and challenges in software development projects, developing contingency plans as needed.
Collaborate with other stakeholders to establish and maintain effective communication channels and project status updates.
Stay up to date with industry trends, emerging technologies, and best practices to drive continuous improvement and innovation in software development processes.
Build and maintain strong relationships with external partners, vendors, and third-party providers to enhance software development capabilities and delivery.

Bachelor’s or master’s degree in computer science, Software Engineering, or a related field. Proven experience (minimum 7+ years) in a senior leadership role within software development or software engineering.
Demonstrated success in delivering complex software projects and products on time and within budget.
Extensive experience in software development methodologies, such as Agile, Scrum, or Kanban, and experience in transitioning teams to these methodologies.
Strong technical expertise in software architecture, design patterns, and modern software development languages and frameworks.
Exceptional problem-solving and decision-making abilities, with a keen attention to detail and a focus on delivering high-quality products.
Proven track record of building and managing high-performing software development teams.
Strong business acumen and the ability to align software development initiatives with broader business objectives.
A passion for innovation, technology, and keeping abreast of the latest developments in the software industry.
Proficiency with solutions for processing large volumes of data, using data processing tools and Big Data platforms.
Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience
Hands-on experience in production rollout and infrastructure configuration
Demonstrable experience of successfully delivering big data projects using Kafka, Spark
Exposure working on NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic Search
Experience working with PCI Data and working with data scientists is a plus.
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.
Knowledge of API gateway solutions and their implementation, such as Kong, Apigee, or AWS API Gateway.

Exposure to Big Data tools and solutions a strong plus
Exposure to Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data.
Experience in Design and architecture review and Banking and Financial domain.

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