SPR Consulting

Big Data Principal Architect

US-IL-Chicago
ID
2017-2853
# of Openings
1

Job Description

Big Data Principal Architect

WHO IS SPR?

 

SPR guides organizations through digital transformations and rejuvenations, solving real problems for real people. As a strategic digital consultancy, we focus on business outcomes for our clients, helping them make data driven decisions and increase engagement with their customers, partners, and employees. We evolve existing platforms and develop new products, and utilize technology to maintain operational effectiveness.

We are technologists at our core and think beyond the math of the 1s and 0s to understand how to reach our human potential using the digital platform. We think about the end users and rigorously and creatively apply the latest technologies and frameworks to address our clients’ needs. To do this, we hire smart technologists and sharp business leaders who are excellent communicators and have an interest in working on multiple projects across industries.

SPR offers a great environment for employees to learn, to build systems that make an impact, and to tackle exciting challenges. With our office’s “Maker Space”, you can explore your IoT side and develop fun projects with 3D printing and CNC machining. We operate in a fun, casual work environment and have great benefits including: competitive salary, bonuses, generous vacation time, big fitness incentives, and medical/dental/vision insurance.

 

By joining the SPR team, you’ll be using your brain, working hard and making an impact through your projects – and you’ll be rewarded for it.

WHAT IS THE POSITION?

 

As a Big Data Principal Architect at SPR Consulting, you must have extensive experience building and operating Big Data solutions with a proven track record in driving business success by architecting, designing, adopting and applying big data strategies and architectures. You must be experienced in large-scale system implementations with a focus on complex data processing and analytics pipelines. You must demonstrate a deep understanding of data analytics best practices, and expertise in data modeling, data cleansing, data mining, machine learning, and data virtualization. The Big Data Principal Architect must be a consensus builder across a highly- technical cross-functional team. They must be able to demonstrate innovative approaches to complex problems which deliver industry-leading experiences for our clients.

 

PROFESSIONAL QUALIFICATIONS

 

  • Experience in architecting and engineering innovative data analysis solutions
  • Familiarity with architectural patterns for data-intensive solutions
  • Expertise in real-time streaming and migrating batch-style data processing to streaming and micro-batch solutions
  • Use of distributed messaging systems to rewrite systems in place
  • Knowledge of the RDBMS core principles; set up, tune, design, as well as newer unstructured data tools
  • Understand terminology involved in Data Science and high-level familiarity with Machine Learning concepts
  • Familiarity with consulting and traditional application design
  • Experience estimating technical solution builds and contributing to custom proposals
  • Excellent written and verbal communication skills
  • Display solid problem-solving abilities in the face of ambiguity
  • Must be a hands on individual who is comfortable leading by example
  • Experience with Agile Methodology
  • Possess excellent interpersonal and organizational skills
  • Able to manage your own time, and work well both independently and as part of a team

 

TECHNOLOGIES WE USE

Java, Scala, Python, C#, Javascript, Ruby / Hadoop, Sqoop, Hive, Pig, Storm / Spark, Mesos, Akka, Cassandra, Kafka / Azure, AWS / Kafka Streams, Flink, Spark Streaming, NiFi, Beam / TensorFlow, Caffe2

 

 

EDUCATION & EXPERIENCE

 

  • 7+ years of professional experience
  • BA or BS, preferably in computer science, engineering or science / technology-based discipline

If this sounds like the kind of challenge you would be up for every day, we would love to hear from you.

 

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