Responsibilities

• 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

Requirements

• Ability to design and implement creative data solutions leveraging the latest in Big Data frameworks, especially from AWS
• Ability to architect 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
• Ability to work with analytics/data management strategy formulation, architectural blueprinting, and business case development 
• SQL, Database, Data Modeling, Data Warehousing and Development skills
• Ability to work with AWS services like S3, Redshift, Athena, EMR, Glue, and Quicksight
• Ability to work with 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).

Benefits & Compensation

• Access to health, vision and dental insurance with options 100% covered by Mission Cloud for employee and their dependents
• Flexible Spending Accounts (Healthcare & Dependent Care)
• Generous Paid Time Off (FlexPTO, parental leave, volunteering time off)
• Reproductive health benefits
• Pet insurance
• 401k matching program
• Life insurance paid by Mission Cloud
• Monthly flex stipend
• Monthly cell phone stipend
• Home office expense benefit
• An internal department dedicated to helping team members on their career path
• Inclusive work environment with several Employee Resource Groups