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1–2 jobs· newest first

Lead Systems Analyst
Wellington Management · Boston, US
$90K–$180KOn-site · Full-time · Manager
Databricks Architect
Mitchell Martin · Princeton, US
$40–$50Contract · Senior

+10K new in the last hour

Lead Systems Analyst

Wellington Management · Posted Nov 6, 2026

Boston, Massachusetts, United States
On-site
Full-time · Manager
$90K–$180K per year
7+ years

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Lead Systems Analyst

Compensation

USD 90,000 - 180,000

Responsibilities

Lead the technical analysis, design, and delivery of Prism data domains and platform capabilities
Own and drive the quarterly roadmap for the Prism platform
Define data requirements and guide enhancements to core platform components
Partner with data producers, consumers, business stakeholders, and application teams to onboard new datasets
Partner with Platform/Infrastructure engineering on deployment strategy

Requirements

Undergraduate degree in a related subject
Nice to have: AI coding and analysis assistants
Nice to have: visualization tools
Nice to have: modern source control tools

Skills

SQL Python GraphQL REST API AWS S3 Athena CloudWatch/OpenSearch messaging/notification patterns batch scheduling Snowflake Microsoft Fabric metadata-driven data platforms data federation cloud deployment strategies blue/green deployments disaster recovery cloud migration AI coding assistants Tableau Git Source Tree CI/CD deployment pipelines SQL query performance tuning design documentation support documentation production support

Benefits

retirement plan
health and wellbeing
dental
vision
pharmacy coverage

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M

Databricks Architect

Mitchell Martin · Posted Nov 5, 2026

Princeton, New Jersey, United States
Contract · Senior
$40–$50 per hour
10–12 years

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Lead the architecture for self-service data solutions, ensuring end-to-end data governance.

Compensation

$40-50 Per HR

Responsibilities

Lead the architecture for self-service data solutions, ensuring end-to-end data governance.
Design a federated data architecture with shared definitions and local data management.
Define semantic layers, common keys, and business rules for data consistency.
Ensure seamless data integration and metric view publication without data duplication.
Set governance models for data changes, including ownership and versioning.

Skills

SQL Python Data Governance Machine Learning Data Federation Data Sharing Data Modeling

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