• Cloud Architect – AI and Automation

    Job Locations US-Washington DC | US-VA-McLean
    ID
    2019-3356
    Category
    Client Services
    Type
    Regular Full-Time
  • Overview

    What do you get when you bring together the brightest minds and place them into an exciting, fast-paced environment that fosters intellectual growth and rewards based on impact, not tenure?

     

    You get one of the fastest growing consulting companies in the United States. While we may be a new name in consultancy, we were born from a storied one. Guidehouse was founded in 2018 as an evolution of PwC Public Sector with a mission to help our clients deliver on their mission; providing bold new strategies that catalyze transformative results across all ends of the enterprise. We embrace brilliance. We embrace independence. Join us.

    Responsibilities

    Build the future of Data Science as part of the Artificial Intelligence Center of Excellence (CoE). The CoE is a unique team within Guidehouse, focusing on solving our client’s most important challenges using Data and Advanced Analytics, AI, and Automation. As one of the top Public Sector professional services firms, the CoE works on a huge variety of projects; from predictive analytics models to support our healthcare and financial services divisions, to open source analysis for federal agencies, and deep learning initiatives for advanced analysis. As part of Guidehouse’s Data Analytics team, you will work on high-impact and high-visibility projects, helping to shape not only Guidehouse’s current business, but its long term strategy.

    This role involves working in building a complex, multi-functional machine learning environment for other data scientists, engineers, and RPA developers to develop and productionize analytics solutions. The Cloud Architect is involved in many aspects of a customer engagement; from the collaboration with other team members and customers to help stakeholders discover the information hidden in vast amounts of data, and help them make smarter decisions to deliver even better products.

    • 5+ years in a lead architect role with demonstrable experience with web applications. RPA orchestration, cloud architecture, data API integration, data analytics, AI, big data platforms, and automating machine learning components.
    • Ability to stand-up and manage an integrated software development and machine learning environment
    • Strong experience in any database technology (SQL Server / Azure Cosmos DB)
    • Strong experience in setting up RPA server environments (UIPath or BluePrism)
    • Strong experience in at least one programming language (i.e. C#, Python, R).
    • Experience with Microsoft Azure or Amazon AWS ML Services.
    • Strong experience in Azure Big Data Technologies like Azure Data Lake, HDInsights etc.
    • Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.)
    • Experience with data visualizations tools like SSRS, PowerBI & Tableau..
    • Experience working with different query languages (i.e. PL-SQL, T-SQL).
    • Understanding and experience working with cloud infrastructure services like Azure, Amazon Web Services & Google Cloud. Azure preferred.
    • Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)
    • Understanding of development and project methodologies.
    • Ability to manage and grow a collaborative development team with other specialized individuals.

    Qualifications

    Required: 

    • Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Management or related fields.
    • 5+ years of experience in the architecting AI and Automation solutions in the Cloud
    • 2+ years of experience in the Robotics Process Automation (RPA) space.
    • 2+ years of experience in the Big Data space (Hadoop, Spark, HDInsight).
    • 2+ years of experience developing APIs
    • 2+ years of experience building Data Lakes
    • 3+ years of experience in custom ETL design, implementation and maintenance.
    • 2+ years of experience developing and / or deploying serverless functions using AWS Lambda, Azure Functions, or Google Cloud Functions
    • 2+ years experience with object-oriented programming languages.
    • 2+ years experience with schema design and dimensional data modeling.
    • 3+ years experience in creating SQL statements.
    • Experience developing and / or deploying Docker Containers on ECS/EKS or Kubernetes
    • Experience analyzing data to identify deliverables, gaps and inconsistencies.
    • Experience managing and communicating architecture plans to internal clients.
    • At least one Cloud certification in AWS or Azure
    • PMP and/or Agile certification

     

    Additional Desired Skills: 

    • 2+ years of experience in building cloud Data Lakes to support Data Analytics and Machine Learning tasks.
    • Preferably AWS Big Data Architect Certification or equivalent.
    • UIPath or BluePrism RPA Certifications
    • Experience with structured and unstructured data, including relational databases (SQL Server), graph databases (Neo4J), NoSQL databases (MongoDB) and unstructured data

    Disclaimer

    Guidehouse is an affirmative action and equal opportunity employer. Employment decisions will be made without regard to race, color, religion, sex, age, national origin, military status, veteran status, handicap, physical or mental disability, sexual orientation, gender identity, genetic information or other characteristics protected by law.

     

    If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

     

    Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

     

    Benefits include:

    • Medical, Rx, Dental & Vision Insurance
    • Personal and Family Sick Time & Company Paid Holidays
    • Parental Leave and Adoption Assistance
    • 401(k) Retirement Plan
    • Student Loan Paydown
    • Basic Life & Supplemental Life
    • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
    • Short-Term & Long-Term Disability
    • Tuition Reimbursement, Personal Development & Learning Opportunities
    • Skills Development & Certifications
    • Employee Referral Program
    • Corporate Sponsored Events & Community Outreach
    • Emergency Back-Up Childcare Program

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