Presales Solutions Architect

About AllCloud

AllCloud is a global professional services company that provides organizations with cloud enablement and transformation tools. As an AWS Premier Consulting Partner and audited MSP, a Salesforce Platinum Partner, and a Snowflake Premier Partner, AllCloud helps clients connect their front and back offices by building a new operating model to harness the benefits of cloud technology, data, and analytics.

Job Summary

We are looking for a savvy Machine Learning/Data engineer-focused Senior Presales SA/SA Manager to join our growing team of data experts. The hire will be primarily responsible for presales activities related to Data and AI/ML projects on AWS, leveraging native services and custom-built models to deliver predictive insights to our customers. In addition, this hire will also support migrating to the cloud, optimizing our customers’ databases and data flows, and enriching our operational and functional data flow with AI/ML algorithms.

The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools. The candidate enjoys optimizing data systems and building them from the ground up. The Machine Learning Engineer will support new systems designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers’ data architecture to support our next generation of product data initiatives and machine learning systems.

Responsibilities

• Support Account Executives to Design Prospect Solutions.
• Estimate Level of Effort for Proposed Solutions and Author Technical Aspects of SOWs to submit proposals to Customers.
• Design solutions that allow us to keep our customers’ data separate and secure to meet compliance and regulatory requirements.
• Design, Build, and Operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud (mainly AWS) migration, and ‘big data’ technologies.
• Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems.
• Design, Build, and Operate large, complex data lakes that meet functional / non-functional business requirements.
• Optimize the ingestion, storage, processing, and retrieval of various data types, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and others.
• Use Jupyter Notebooks to build and deploy ML models.
• Leverage AWS AI/ML pre-built solutions to accelerate customer work.
• Work with customers and internal stakeholders, including the Executive, Product, Data, Software Development, and Design teams, to assist with data-related technical issues and support their data infrastructure and business needs.
• Manage the Delivery Solutions Architects.
• Be a point of contact for Escalations from the Delivery Solutions Architects and Enable a Process to ensure their work and commitments are delivered as intended.
• Understand the customer’s data & analytics requirements and translate them into system / technical requirements.
• Provide exceptional AWS technical design and thought leadership.
• Lead technical workshops and advise customers on architectural and strategic data decisions.
• Ensure success in designing, building, and migrating data and analytics services on the AWS platform.
• Educate customers on best practices to ensure their solutions are designed for successful deployment in the cloud.
• Work with other AllCloud teams to ensure quality and customer success
• Capture and share knowledge with AllCloud’s broader technical experts community
• Provide pre-sales architecture support to drive sales and complete cloud architectural activities and engagements.
• Employees and direct managers will work to outline a personal development plan for the calendar year, identifying specific focus areas and personal development objectives that must be met.

Summary of Key Requirements

• We seek a candidate with 5+ years of experience in a Data Scientist/Machine Learning Engineer role who has attained a Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Spark, ElasticSearch, Hadoop, Kafka, Kinesis, etc.
• Experience with relational SQL and NoSQL databases, such as MySQL, Postgres, DynamoDB, or Cassandra.
• Experience with AWS cloud services: EC2, RDS, EMR, Redshift etc.
• Experience with functional and scripting languages: Python, Java, Scala, etc.
• Experience with various ML models for classification, scoring, and more.
• Experience with Deep Learning Neural Networks (Convolution, NLP etc.).
• Experience with AWS AI/ML Services.
• Experience with Python coding.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with various databases.
• Experience building and optimizing big data pipelines, architectures, and data sets.
• Strong analytic skills related to working with unstructured datasets.
• To support data projects, a strong understanding of AWS Infrastructure, including EC2, Lambda, VPC, EKS, S3, and others, is required.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with external customers in a dynamic environment.

Certifications

• AWS Machine Learning Specialty (Strongly Preferred)
• AWS Solutions Architect - Associate (Strongly Preferred)
• AWS Solutions Architect - Professional (Preferred)

Why work for us?

Our team inspires progress in each other and our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development.

AllCloud is an Equal Opportunity Employer and considers applicants for employment regardless of race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.