Big Data Solutions Architect

at  Mission Cloud Services

As a Big Data Solutions Architect, you will report to the Practice Lead, Data, Analytics & Machine Learning. You will work with clients to understand their current environment and technical challenges as well as their future state needs. You will design and propose solutions, helping clients understand how the project will accomplish their goals. You will lead a team of Big Data Engineers to implement projects, building cutting-edge solutions.
This position is 100% remote.

REQUIREMENTS

• Proven experience designing and implementing creative data solutions leveraging the latest in Big Data frameworks, especially from AWS
• Experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured data using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
• Working knowledge of analytics/data management strategy formulation, architectural blueprinting, and business case development
• SQL, Database, Data Modeling, Data Warehousing and Development skills
• Working knowledge of AWS services like S3, Redshift, Athena, EMR, Glue, and Quicksight
• Working knowledge of Dashboarding and Reporting Tools used in the Industry (Tableau, Qlik, etc.)
• Ability to lead teams, train, and mentor more junior team members
• Ability to work with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments
• AWS Data Analytics Specialty Certification (required within 6 months of hire)
• AWS Solution Architect - Professional Certification (required within 6 months of hire)
• Additional AWS Specialty Certification within the Data Analytics, Development or Machine learning space (required within 1 year of hire)

• Facilitate design sessions with clients and Mission Cloud team to create the strategy, architecture, and implementation plan for data engineering projects
• Design end-to-end modern data platforms for analytics and AI use cases for multiple clients simultaneously
• Communicate the proposed solution to clients so they understand the benefits, translating the technical elements into business language
• Develop strategic roadmaps and project plans based on customer goals
• Work with Big Data Engineers and Architects to break down complex development plans into LOE estimates, design documents and project plans
• Oversee the implementation customer roadmaps in coordination with Big Data Engineers; ensure project tasks are completed on time, high quality, and progress toward the project goals
• Design data ingestion, data storage, data modeling, data virtualization, self-service data preparation and analytics pipelines
• Develop customer solutions for data privacy and security
• Create workload orchestration using common tools like Jenkins, Airflow and MLFlow
• Be the technical liaison between customers and engineering teams; communicate complex technical concepts in easy-to-understand non-technical language
• Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines
• Support pre-sales engineers in proposal design and positioning, including helping define an approach to solving a prospect’s technical challenges and helping the business development team estimate and plan projects
• Mentor Big Data Engineers and more junior consultants
• Support Data Science & Engineering process improvement initiatives
• Support Data Science & Engineering recruiting efforts by participating on interview panels