Senior Director, Data & Cloud Engineering
Our client – a prestigious investment manager headquartered in Boston has an immediate need for a Sr Technologist with expertise in Cloud and Data engineering and architecture to further their AI initiatives and scale of related platforms.
This role owns the technical strategy and execution of enterprise data and cloud engineering capabilities, ensuring scalable, secure, and high-performance platforms that support analytics, operational workloads, and emerging intelligent systems. Reporting to a senior technology leader, the position blends architectural leadership with hands-on technical oversight across hybrid and cloud-native environments.
The role leads a distributed team of engineers and delivery partners, setting engineering standards, driving automation, and ensuring operational excellence across data pipelines, cloud infrastructure, and platform services. The focus is on building resilient, cost-efficient systems that enable rapid delivery while meeting security, reliability, and compliance expectations.
Core Responsibilities
Data & Cloud Architecture
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Define and evolve reference architectures for data platforms and cloud-based services
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Lead design decisions across hybrid and cloud-native environments, including compute, storage, networking, and identity
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Ensure architectures support scalability, fault tolerance, disaster recovery, and performance optimization
Data Engineering & Platform Delivery
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Oversee end-to-end data engineering lifecycle: ingestion, transformation, orchestration, storage, and consumption
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Drive adoption of modern data engineering patterns (ELT, streaming, event-driven pipelines, metadata-driven design)
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Establish standards for data modeling, versioning, testing, and deployment
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Ensure platforms support analytical, operational, and real-time workloads
Cloud Engineering & Operations
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Lead cloud engineering practices including infrastructure-as-code, environment automation, and CI/CD pipelines
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Establish observability standards covering monitoring, logging, alerting, and cost management
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Ensure secure integration between on-premise and cloud environments
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Drive platform reliability through SRE-inspired practices, automation, and runbook maturity
Security, Governance & Compliance
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Embed security-by-design principles across data and cloud platforms
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Partner with governance and risk functions to enforce access controls, encryption, lineage, and auditability
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Ensure platforms meet internal policy, regulatory, and resiliency requirements
Leadership & Delivery Excellence
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Build, mentor, and lead a geographically distributed team of engineers and technical leads
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Set clear engineering expectations, technical KPIs, and delivery standards
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Manage third-party vendors and delivery partners with strong accountability
Stakeholder & Architecture Alignment
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Partner with enterprise architecture and application teams to ensure platform interoperability
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Translate business and analytical requirements into scalable technical solutions
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Communicate architectural decisions, trade-offs, and delivery progress to senior stakeholders
Innovation & Advanced Capabilities
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Evaluate and introduce emerging cloud, data, and automation technologies
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Enable platforms for advanced analytics, intelligent automation, and model-driven workloads
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Promote reuse, self-service, and platform-as-a-product thinking
Technical Qualifications
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Degree in Computer Science, Engineering, or related technical field
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Extensive experience in data engineering, cloud engineering, or platform architecture roles
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Proven track record designing and operating large-scale data platforms in cloud or hybrid environments
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Strong understanding of:
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Distributed data processing and storage systems
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Cloud networking, identity, and security models
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Infrastructure-as-code and CI/CD practices
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Data reliability, reconciliation, and observability patterns
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Experience supporting regulated, high-availability, or mission-critical systems
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Ability to operate at both architectural and implementation levels
Professional Capabilities
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Strong systems thinking and problem-solving skills
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Bias toward automation, reliability, and repeatability
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Comfortable making trade-offs between speed, cost, and risk
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Effective communicator with both technical and non-technical audiences
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High standards for engineering quality and operational maturity
Onsite-Hybrid in Boston's Financial District.
For immediate consideration please email resume to Mark Doyle at [email protected].
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