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AWS Solutions Architect

Andover, MA 01810

Employment Type: Direct Hire Industry: Information Technology / Systems Job Number: 830

A longstanding AWS Advanced Consulting Partner, is seeking AWS Certified Enterprise Solution Architects to design & implement cloud-based solutions for Fortune 500 Clients.   We have hundreds of customers with profound brand penetration and they continue to ask for our high quality services.   If you are a proven AWS customer-facing guru then we want to talk to you.


The position involves helping enterprise clients to build solutions the intersection with these trends:
  • AWS Cloud Migration (Database, Data Warehouse, Applications & Infrastructure)
  • AWS Data Lakes/Enterprise Data Platforms
  • AWS Serverless Application Architecture and Development
  • DevOps (CI/CD)
  • AWS Machine Learning and AI 


In this role, you will collaborate with our  customers, sometimes working onsite, to:
  • Understand customer requirements, translate these into specifications,
  • Develop the AWS-based solutions, working with both onshore and offshore teams,
  • Deliver and deploy solutions with customers enterprise architecture.


This includes assessing customer needs, re-engineering business intelligence processes, designing and developing data models, and sharing your expertise throughout the deployment process.


  • Working for AWS Professional Services and have architected and deployed highly scalable AWS Solutions
  • Leader in an  Engineering and/or AWS Consulting Firm  with experience architecting, developing and Deploying enterprise Scale AWS-based Products
  • A Senior AWS Enterprise Architect within a Company that has built and Deployed Data Lakes, Migrated Applications and Data to AWS or Architected and Build AWS Serverless Applications




  • Ability to present to business solutions to customer CTO and CIO, focusing on time-to-value for cloud solutions.
  • Interface with Client project sponsors to gather, assess and interpret client needs and requirements.
  • Attend on-site customer meetings as needed
  • Assess use cases for various teams within the client company.
  • This includes working with Security and Data Governance groups within large enterprises, and Develop a data model around stated use cases to capture client’ s KPIs and data transformations.
  • Advising on database performance, altering the ETL process, providing SQL transformations, discussing API integration, and rethinking the approach of certain KPIs.
  • Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
  • Document and communicate product feedback in order to improve user experience.


  • 6-15 years of software implementation/services experience, preferably in the Data Analytics space.  
  • Multiple AWS Certifications
  • Experience with AWS Cloud solutions deployed in Fortune 500 clients.
  • Strong understanding across Cloud and infrastructure components (server, storage, network, data, and applications) to deliver end to end Cloud Infrastructure architectures and designs.
  • Ability to simplify presentation of complex enterprise architecture during sales cycle for large multi-year cloud migration projects Fortune 500 clients.
  • A passion for exploring cloud big data, extending this into Machine Learning and AI.
  • Solid writing skills
  • Significant experience with System Development Life Cycle (SDLC)
  • Proven analytical, problem solving, and troubleshooting expertise.
  • Proficiency in SQL, preferably across a number of dialects (we commonly write MySQL, PostgreSQL, Redshift, SQL Server, and Oracle).
  • Exposure to developer tools/workflow (e.g., git/github, *nix, SSH).
  • Experience troubleshooting operations issues.
  • Optimizing database/query performance.
  • In depth knowledge of AWS services like EC2, S3, Redshift, RDS, Auto scaling, ELB, VPC, System Manager, IAM, Security & Compliance, Elastic Beanstalk, Cloud Front, CloudTrail, Trusted Advisor, Storage Gateway, Glacier, Route 53, DMS, SMS, CloudWatch, SNS, Direct connect, Lambda, VPN.
  • Streaming data tools and techniques such as Kafka, AWS Kinesis, NiFi, Microsoft Streaming Analytics.
  • Metadata management, data lineage, data governance, especially as related to Big Data.
  • ETL (Extract-Transform-Load) tools such as Datastage, Podium or Talend.
  • Structured, Unstructured, Semi-Structured Data techniques and processes.
  • Good Exposure in 3rd Party Assessment tools and Migration tools.
  • Experience with business intelligence tools with a physical model (e.g., MicroStrategy, Business Objects, Cognos).
  • Experience with data warehousing.
  • Exposure to NoSQL-based, SQL-like technologies (e.g., Hive, Pig, Spark SQL/Shark, Impala, BigQuery).
  • Data Warehouse and Data Mart design and implementation.
  • Demonstrated experience of design and implementation of microservices architecture and RESTful web services.
  • Experience of utilizing progressive design patterns that make use of server less technologies, dynamic scaling, event models, cost optimizations and platform services.
  • Experience of network integration and Cloud connectivity of public and private environments; Ingress and egress of data to and from AWS.
  • Knowledge of cloud reference architectures and AWS best practices.
  • Experience with core AWS platform and security architecture, including: service account design, virtual private cloud, network design, subnetting, segmentation strategies
  • Identity and Access Management design, policies and federation strategies, including private key management
  • Ability to learn and assimilate technical information quickly.
  • AWS Solutions architect certification.
  • Bachelor' s degree or higher
  • Ability to work remote full-time and involving from 30%-100% Travel


Ryan McKigney

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