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MIT Lincoln Laboratory · 8 hours ago

Data/Software Architect

Lexington, MA

Full-time

Onsite

Senior Level, Lead/Staff

$145K/yr - $220K/yr

5+ years exp

MIT Lincoln Laboratory focuses on driving analytic and AI/ML solutions for national security needs. They are seeking a highly motivated and experienced data/software architect to enhance and develop data science enabling platforms and decision support tools for the US Government.

BiotechnologyInformation TechnologyNational SecuritySecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Drive architecture solutions and innovations to enhance and develop data science enabling platforms and decision support tools

Drive the development of data engineering pipelines to deliver national large-scale curated and harmonized data resources

Stay abreast of current technologies, investigating pros and cons of solutions, and prototyping

Act as a principal investigator for projects, lead teams, define research plans, and provide technical and management oversight

Qualification

Data architectureBig data solutionsMachine learningMicroservice architectureCloud native applicationsData modelingDistributed systemsData integrationPerformance tuningScientific writingTeam leadership

Required

Ph.D. in Computer Science, Data Science, or related scientific field or equivalent experience in technical analysis. In lieu of a Ph.D., a master's degree with 5+ years or a Bachelors degree with 10+ years of directly related experience will be considered

Demonstrated ability architecting big data solutions. Experience with biological data and developing solutions in AWS, data lakes/data warehouses a plus

Familiarity with distributed systems and designing a modern distributed stack

Familiarity with data technologies in areas of data integration, data curation and harmonization

Familiarity with large databases / datasets, with a mixture of relational and not-relational data. Experience with performance tuning a plus

Experience with data science and machine learning techniques to help with automation

Functional expertise in building microservice architectures and methodologies

HPC experience – Multi-threading, CUDA, Spark processing

Experience deploying cloud native applications using containers, Kubernetes/Kubeflow

Data modeling and database design experience, both SQL and NoSQL

Ability to work collaboratively and lead small to medium team of software developers and data scientists to execute your vision and software architecture

Demonstrated skills in scientific writing, as well as development and clear presentation of technical materials to a wide spectrum of technical and non-technical audiences