Big Data Application Architect

Key Skills

Apache Kafka, Big Data Technology, Data Analytics, Data Architecture, Data Lake, Data science techniques, Database, DevOps, Docker, Java Programming, Kubernetes-K8s, NoSQL, Python Programming, SDLC, SPARK Programming, SQL

Job Description

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 build and take ownership over 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.

What you will do:

• Collaborate with cross-functional teams to design scalable data architecture and create robust data processing pipelines.
• Design and implement data models that align with business requirements, enabling seamless data access and analytics.
• Identify opportunities to enhance data processing efficiency and implement performance optimizations for our data pipelines.
• Implement data quality checks and validation processes to ensure the accuracy and integrity of our data.
• Collaborate with the security team to enforce data privacy standards, ensuring compliance with relevant regulations.
• Work closely with data scientists, analysts, and software engineers to understand data needs, provide technical support, and troubleshoot data-related issues.
• Stay up to date with the latest data engineering technologies and tools and recommend improvements to our existing systems, do POC’s.
• Maintain comprehensive documentation of data engineering processes, data flows, and system configurations.

What you will need to have:

• A Bachelor’s degree or related experience in computer science or related field.
• 7-12 years of overall industry experience, with at least 6+ years' experience building large-scale big data applications.
• 3-5 years of application architecture experience with direct accountability to architect and design data applications.
• Technical leadership skills, demonstrating expertise in developing data solutions, building frameworks, and designing solutions for processing large volumes of data using data processing tools and Big Data platforms.
• Experience building Data Lake, EDW, and data applications on cloud.
• Proficiency in major programming/scripting languages like Java, and/or Python, developing micro-services with Spring/Springboot and real-time data processing and streaming using Kafka, Apache Spark, etc.
• Knowledgeable on cluster and parallel architecture, experience with high-scale databases and SQL, and exposure to NoSQL databases like Cassandra, HBase, DynamoDB, and Elastic Search.
• Experience working with PCI Data and collaborating with data scientists.
• Knowledge of data governance, security, and privacy principle.
• Experience in building and deploying applications in Cloud, preferably in Azure.
• Well versed in SDLC, DevOps, and continuous delivery/continuous deployment.

What would be great to have:

• Experience in Banking, Financial domain
• Advanced certifications in data engineering or related fields.
• Familiarity with machine learning frameworks and data science workflows.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.

This role is not eligible to be performed in Colorado, California, New York or Washington.

Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

What you should know about us:

Fiserv is a global fintech leader with 40,000-plus (and growing) associates proudly serving clients in more than 100 countries. As a FORTUNE™ 500 company, one of Fast Company’s Most Innovative Companies, and a top scorer on Bloomberg’s Gender-Equality Index, we are committed to excellence and purposeful innovation.

Our commitment to Diversity and Inclusion:

Fiserv is an Equal Opportunity Employer, and we welcome and encourage diversity in our workforce that reflects our world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by law. 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information.

Any communications from a Fiserv representative will come from a legitimate business email address. We will not hire through text message, social media, or email alone, and any interviews will be conducted in person or through a secure video call. We won’t ask you for sensitive information nor will we ask you to pay anything during the hiring process. We also won’t send you a check to cash on Fiserv’s behalf.