Lead the architectural strategy, operating model, and technical governance of the enterprise Operational Data Platform (ODP) and Data‑as‑a‑Product (DaaP) transformation.
Responsibilities
Own the enterprise architecture for the Azure-based data platform
Define and maintain platform architecture standards, reference patterns, and future-state roadmaps
Ensure the platform enables analytics, reporting, and AI/ML workloads at enterprise scale
Establish and govern Data-as-a-Product standards
Partner with Product Owners and domain teams to enable scalable data product delivery
Requirements
Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred
As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.
Responsibilities
Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
Lead privacy-centric engineering initiatives within JPMorgan Chase’s Chief Data & Analytics Office, managing the Data Privacy & Governance roadmap and driving technical direction for privacy impact assessments and technology integrations.
Responsibilities
Manage the Data Privacy & Governance roadmap
Lead firmwide privacy initiatives
Drive technical direction for Privacy Impact Assessment
Structure roadmap delivery and operating model
Oversee engineering projects, risks, issues, and dependencies
Requirements
Nice to have: Complex data governance
Nice to have: Security and compliance requirements
Senior technical leader responsible for defining the end‑to‑end architecture of enterprise data platforms, advanced analytics solutions, and AI/ML capabilities.
Compensation
The salary range for this role is 132,400 USD - 251,600 USD.
Responsibilities
Define the long‑term architecture for data, analytics, and AI/ML platforms in alignment with enterprise digital strategy.
Develop reference architectures, design patterns, and platform standards for cloud, Lakehouse, and AI ecosystems.
Define and lead technology proof of concepts to ensure feasibility of architecture solutions.
Provide strong thought leadership in pursuit of modern architecture principles and technology modernization.
Evaluate emerging technologies and provide strategic recommendations (AI, knowledge graphs, real‑time streaming, ML Ops, etc.).
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.
Locations (4)
Connecticut, United States
Massachusetts, United States
New York, United States
Pennsylvania, United States
Compensation
$180,000—$247,500 USD
Responsibilities
Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
Lead the technical strategy for telco customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.
Compensation
Zone 1 Pay Range: $180,000—$247,500 USD, Zone 2 Pay Range: $180,000—$247,500 USD, Zone 3 Pay Range: $180,000—$247,500 USD, Zone 4 Pay Range: $180,000—$247,500 USD
Responsibilities
Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
Design, build, and deliver modern data and analytics solutions for insurance clients, including scalable pipelines, curated datasets, semantic models, and dashboards.
Compensation
Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes annual bonus eligibility, benefits, and other opportunities at ReSource Pro. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other ReSource Pro employees. This is a remote position, and the salary range for most locations for this role is $96,655-$163860 per year.
Responsibilities
Design and build scalable data migration, pipeline, and integration workflows for analytics and operational use cases
Develop and maintain curated datasets, semantic models, and reusable data assets that power reporting and analytics
Evolve our modern data platform, including lakehouse environments and ingestion frameworks, and set best practices for performance and reliability
Lead delivery of dashboards, data products, and self-service analytics that give business users trusted, actionable insights
Partner with product, platform, and domain experts, applying insurance industry context to deliver end-to-end data solutions
Requirements
Bachelor’s degree in Computer Science, Data Science, or a related field
LPL Financial is seeking a Senior Data Engineer to join their Data & Analytics organization. This role is ideal for a highly skilled, hands-on engineer with strong expertise in party reference data, cloud-native data platforms, and enterprise data engineering. You will play a critical role in designing, building, and maintaining scalable party data solutions that support key business initiatives including client onboarding, KYC/AML, regulatory reporting, and operational efficiency.
Responsibilities
Design, develop, and maintain party reference data services and pipelines supporting clients, counterparties, issuers, and legal entities.
Build and enhance party data solutions.
Work closely with technical leads, architects, and business stakeholders.
Mentor junior engineers and contribute to engineering best practices.
Implement scalable party data solutions for client onboarding, KYC/AML, regulatory reporting, and operational efficiency.
Evergreen Solutions ArchitectNewDatabricks · Tokyo, Japan
Senior Director of Software Engineering - Privacy Engineering LeadJPMC Candidate Experience page · London, United Kingdom
Senior Expert Engineer, Data ServicesReSource Pro · Remote, US
Sr Engineer, DataLPL Financial · Hyderabad, India