Data Architect

Posted Yesterday
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Hiring Remotely in CRI
Remote
Senior level
Cloud • Information Technology • Productivity • Security • Software
The Role
Design, prototype, and architect data streaming platforms and event-driven architectures (Kafka preferred). Build streaming applications (Kafka Streams, Spark, Flink), create data-in-motion schemas, configure platform performance/reliability/security, integrate with data science/BI/app teams, document/diagram systems, present solutions to stakeholders, and mentor peers within the Data Streaming Center of Excellence.
Summary Generated by Built In
Job Summary & Responsibilities

Qualifications 


As a Data Streaming Architect, you will also be responsible for coaching and mentoring peers within WWT as the data practice grows and expands. Successful applicants must have the experience and capability to perform the following: 

  • Architecting, prototyping, and building data platforms using Apache Kafka, Kinesis, Azure Event Hub, or similar technologies (Kafka preferred). 
  • Designing and building streaming applications for data platforms using frameworks such as Kafka Streams, Spark, and Apache Flink. 
  • Understanding and configuring underlying data platforms (g., for performance, reliability, security) according to the needs of the client. 
  • Architecting and creating data schemas according to best practices for data in motion. 
  • Working with various disciplines (g., Data Science, Data Warehousing/BI, Operations, App Dev) and integrating their tools and process with data streaming platforms. 
  • Presenting to people with differing levels of technical knowledge (developers to CTOs) the value of data streaming platforms. 
  • Understanding, documenting, and diagramming complex systems. 

Preferred (but not required) experience or knowledge of the following: 

  • No-code tooling such as Apache NiFi, Informatica, and AWS Glue 
  • Different Kafka offerings such as Confluent Kafka (Platform and Cloud), MSK, and Cloudera 
  • Operating and managing Kafka clusters at scale 
  • Experience with containerized applications and orchestration. 

As a member of the Data Streaming CoE, a candidate must bring a variety of skills to the team. Each member of the team should have hands-on experience with at least one public cloud platform. Other skills expected of a team member include: 

  • Excellent attitude; self-motivated and principled problem solver; willing to own a problem and see it through to resolution. 
  • Passion and experience with architectures for complex software on one or more major public cloud platforms (AWS, Microsoft Azure, Google Cloud Platform). 
  • Detailed understanding of cloud-native concepts and tradeoffs. 
  • History of leading teams (technically or managerially) to deliver working software that solves a business problem. 
  • Background in software engineering with strong skills in one or more major development languages (g., Java, C#, Node.js, etc.), as well as familiarity with scripting languages and deployment of infrastructure as code. 

Growth Opportunities 

With a role in our Data Streaming CoE, an individual will have a variety of opportunities for career and skill growth. This list highlights some of those opportunities.  

  • Leverage our partnerships with the Cloud Service Providers (CSPs) and our partners for access to learning opportunities and platforms that others do not have.  
  • Contribute to building internal initiatives that can drive higher value for our customers. 
  • Gain experience in the practice of management consulting. 
  • Learn or enhance your technical sales skills, as the team will work with customers from the business development stage through delivery of the project. 

Our Core Values 

  • Customer Delight: Acting as a trusted partner for our customers by putting truth, integrity, and empathy before short-term profits. 
  • Quality: Delivering the highest quality advice and solutions to help customers grow their businesses. 
  • Accountability: Leveraging feedback to build and maintain highly effective team members. 
  • Industry Excellence: Connecting with the industry to leverage best practices and build credibility. 
  • Continued Education: Staying on top of emerging technologies to ensure customers receive the most informed advice based on industry and market trends. 
  • Driving customer delight often requires a great variety of consulting flexibility, but our CoE leads with data streaming architecture, strategy, and enablement. We work closely with other practices within WWT—across all our application and consulting services teams—to offer full-spectrum, services-led answers to our customer’s most difficult questions

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best.

We offer the following benefits to all full-time employees:

  • Health and Wellbeing: Combined Health Insurance (Dental and Vision), Employee Assistance Program, Wellness program.
  • Financial Benefits: Competitive pay, Profit Sharing, Life and Disability Insurance, Tuition Reimbursement
  • Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Bereavement
  • Additional Perks: Employee Assistance Program, Employee Discount Program and more!

Note: This is not an all-encompassing list and should not be used as a complete description of the plan’s benefits.


We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for allI you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know.


The recruiter will work with you to understand you needs and help ensure an accessible experience throughout the interview process.

 

#LI-WWTCR

Preferred Qualifications

Why WWT?

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe. Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)—a
collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities. With more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work
for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada. Want to work with highly motivated individuals on high-performance teams? Join WWT today!

 

What will you be doing?


Worldwide Technology is looking to hire seasoned software architects with a passion for developing data streaming solutions to join its Data Streaming Center of Excellence (CoE). 

This team, part of WWT’s larger Data Engineering practice, comprises a group of highly effective architects with strong backgrounds in data streaming. Our focus is on helping our customers with their challenges around data in motion, whether they are just starting out or are evolving existing platforms into event driven architectures for their enterprise.  

In our daily work, we elevate each team member to demonstrate their strengths and develop their weaknesses. We leverage agile practices like standup, demos, and retrospectives to run and grow our team. 


What We Do?


The Data Streaming Architect is responsible for engaging the customer early, fully understanding their business objectives and technology problems, and providing industry leading guidance through their journey. Their wide range of skills and broad knowledge allow them to be thought leaders, providing value in almost any aspect of a project. Architects are self-motivated and are expected to uphold WWT’s core values and contribute positively to developing the practice. Examples of the tasks and work of a Data Streaming Architect might include: 

  • Designing event driven architectures in partnership with the client or WWT’s application development teams. 
  • Engaging customers during pre-sales, understanding their requirements, and delivering solutions. 
  • Acting as a trusted strategic advisor for all things related to data streaming. 
  • Providing guidance on when and how to utilize different data processing frameworks and tools. 
  • Working with businesses of all sizes, from Fortune 50 companies to startups.  
  • Working with other teams in WWT as a data streaming SME. 
  • Building tools, processes, and documentation to standardize the way we work. 
  • Providing thought leadership around the ever-changing landscape of data streaming technologies and architecture through blog posts and speaking opportunities

Skills Required

  • Architect and build data streaming platforms using Apache Kafka, Kinesis, Azure Event Hub, or similar (Kafka preferred).
  • Design and build streaming applications using Kafka Streams, Apache Spark, or Apache Flink.
  • Understand and configure data platforms for performance, reliability, and security.
  • Architect and create data schemas and data-in-motion best practices.
  • Integrate streaming platforms with Data Science, Data Warehousing/BI, Operations, and App Dev teams.
  • Present technical value of streaming platforms to audiences from developers to CTOs.
  • Understand, document, and diagram complex systems.
  • Hands-on experience with at least one major public cloud platform (AWS, Azure, or GCP).
  • Background in software engineering with strong skills in one or more major development languages (Java, C#, Node.js).
  • Familiarity with scripting languages and deployment of infrastructure as code.
  • History of leading teams (technically or managerially) to deliver solutions.
  • Experience with no-code tooling such as Apache NiFi, Informatica, or AWS Glue.
  • Familiarity with different Kafka offerings (Confluent Platform/Cloud, MSK, Cloudera) and operating Kafka clusters at scale.
  • Experience with containerized applications and orchestration.
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The Company
HQ: Chicago, IL

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