Resident Solutions Architect - AWS Big Data - 170k+ - Remote

Jefferson Frank

Resident Solutions Architect - AWS Big Data - 170k+ - Remote

As a Resident Solutions Architect, you will have the opportunity to shape the future big data solution landscape for leading Fortune 500 organizations. This position is a senior level customer-facing role that needs deep expertise in Apache Spark along with breadth of big data solution architecture experience. On a weekly basis, you will guide customers through architecture, design and implementation activities while strategically aligning their technical roadmap for expanding the usage of the Client's platform.


  • Guide strategic customers as they design and implement Big Data projects ranging from transformations to data science and AI through on-site and remote engagements

  • Provide technical leadership in a pre-sales and post-sales capacity for customers to support successful understanding, evaluation and adoption of the Client's technology

  • Identify and drive new initiatives that enable customers to succeed in turning their data into value

  • Build reference architectures, frameworks, solutions, how-to's, and prototypes for customers

  • Provide escalated level of support for critical customer operational issues

  • Architect, implement, and/or validate migration of workloads from 3rd party databases and data platforms to Apache Spark.

  • Evangelize Spark and the Client across developer community through meetups and conferences

  • Plan and coordinate with Account Executives, Customer Success Engineers and Solution Architects for expanding the use of the Client's platform within strategic enterprise customers on a weekly basis


  • Deep hands-on technical expertise with Apache Spark

  • Minimum 5+ years of design and implementation experience in Big Data technologies (Hadoop ecosystem, Kafka, NoSQL databases)

  • 3-5 years in customer-facing pre-sales, technical architecture or consulting role

  • Open to travel up to 30% per month

  • Familiarity with data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture)

  • Outstanding verbal and written communication skills; Comfortable with talking up and down the IT chain of command including directors, managers, architects and developers

  • Passionate about learning new technologies and making customers successful

  • Excellent presentation and whiteboarding skills

  • Comfortable coding Python, Scala or Java

  • Familiarity with AWS/EC2 cloud deployment models (Public vs. VPC)

Preferred Qualifications

  • BS / MS in Computer Science or equivalent

  • Proven track record within a data platform software vendor in a consulting/services function

  • Experience working as or with Data Scientists

  • Experienced with performance tuning, troubleshooting, and debugging Spark and/or other big data solutions

  • Familiarity with database and analytics technologies in the industry including Data Warehousing/ETL, Relational Databases, or MPP


  • Medical, dental, vision

  • 401k Retirement Plan

  • Unlimited Paid Time Off

  • Catered lunch (everyday), snacks, and drinks

  • Gym reimbursement

  • Employee referral bonus program

  • Awesome coworkers

  • Maternity and paternity plans

    • provided by Dice AWS, Amazon Web Services, Cloud Architect, Architect, Cloud, Kafka, Live Streaming, Big Data, Spark, Hadoop, Azure, AWS
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