Senior Director, Data Platform Engineering Job at SimpliSafe (Boston)

Senior Director of Platform Engineering

Lead the Future of Platform Engineering at Modus Create. As Senior Director of P...

Location

United States of America

Salary:

Not provided

Modus Create

Expiration Date

Until further notice

Requirements

15+ years in Platform Engineering/DevOps
7+ years in senior engineering leadership—ideally in consulting or high-growth tech environments
A clear point of view on modern architecture, engineering best-practices, and agile delivery
Proven experience scaling distributed global teams and platform engineering operations
Strong pre-sales and delivery experience—able to shape winning proposals and roadmaps
A customer-first mindset and passion for solving complex problems with elegant, scalable solutions
Excellent communication and collaboration skills in cross-functional and cross-cultural environments
A history of growing leaders and fostering high-trust, high-performance teams—while supporting a culture of empathy, accountability, and shared success

Job Responsibility

Lead & Inspire Engineering Excellence
Build and scale a high-performing, distributed platform engineering team through strong mentorship and inclusive leadership
Define what great looks like—through reusable runbooks, technical standards, and nurturing a culture grounded in quality, belonging, and continuous learning
Deliver Business Outcomes, Not Just Code
Help clients modernize platforms, launch new infrastructure, and make better innovation investment decisions
Ensure every solution is aligned with client goals and drives measurable value, while remaining empathetic to real-world user needs and impact
Drive Technical Strategy & Practice Development
Own and evolve our delivery frameworks, platform engineering standards, and team operations
Champion cloud-native development, DevOps and SRE best practices, and scalable architecture, balancing technical vision with affinity with both the people building and the people using the product
Business Development & Sales Support

What we offer

Remote work with flexible working hours
Modus Global Office Programme: on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
Employee Referral Program
Client Referral Program
Travel according to client or team needs
The chance to work side-by-side with thought leaders in emerging tech
Access to more than 12,000 courses with a licensed Coursera account
Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role

Fulltime

Director - IT Senior Group Manager (Platform Engineering and Optimization)

The Director - IT Senior Group Manager ( C15) is a senior management level posit...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of relevant leadership and delivery experience in an Engineering focused role with extensive experience in global business, functional and people management
relevant degree in Engineering or computer science from reputed school. Masters degree preferred
Experience working in Financial Services or a large complex and/or global environment
Exposure to working with AI-assisted software development models, and experience implementing Gen AI use cases
Experience providing leadership for scaled agile release trains preferred
program management experience helpful
Demonstrated ability to influence remote, senior stakeholders including senior business executives
Experience in tracking and monitoring delivery, productivity and organizational health metrics
Experience planning, forecasting and managing technology budgets at team level, including project tracking and governance
Demonstrated systems thinking, critical analysis and design thinking skills

Job Responsibility

Lead and manage a set of engineering teams to deliver business and technology value, working with peers and partners. Actively speed up and improve engineering practices ensuring higher levels of productivity and quality
Define and implement the workforce strategy creating an organization of happy, productive, engaged, co-located engineering teams comprised of direct and supplier staff located globally, including workforce planning, hiring, performance , and pay management
Implement career development frameworks and processes for the team, providing coaching, mentoring and development of engineering and related job families
Be a great partner, but also hold your peers (development, testing , Architecture, Infra team etc) accountable for partnering in delivery
Managing Lower environment operations, observability, test data management and test automation will be key focus areas
Be a strong advocate for and drive the adoption of modern engineering practices including scaled agile, DevOps, CI/CD and automation, and build a culture of engineering and continuous improvement, with a focus on velocity, quality and agility
Stay abreast of domain and industry developments and advocate relevant technology strategies as appropriate, including the use of AI, cloud, data technologies, and third-party products, and drive a culture of innovation
Develop and implement the technology roadmap and strategy and provide ownership and direction for technology products, working in partnership with the application development team, business stakeholders, and other technology partners
Build productive relationships with business counterparts and support the execution of key programs working in partnership with business, infrastructure and security teams
Oversee the technology budget for the function and manage the budget and forecasts to ensure relevant targets are met

Fulltime

Director SW Engineering (ML Engineering and Platform)

The Prisma AIRS team is building the future of AI security. With organizations b...

Location

United States , Santa Clara

Salary:

232000.00 - 320750.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science, Engineering, or a related technical field
12+ years of professional software development experience, with a proven track record of building and shipping high-quality, large-scale, enterprise-grade cloud delivered services
Extensive professional experience with a deep focus on MLOps, ML systems, or productionizing machine learning models at scale
MLOps pipelines
Model governance/lifecycle
AI observability stack, Big Data infra (Kafka/Spark)
GenAI/LLM platform
IaC/GitOps
AI safety/governance
6+ years of formal engineering management experience, with experience leading multiple teams (managing managers is a plus)

Job Responsibility

Define and execute the technical strategy and roadmap for your area of ownership within the Prisma AIRS engineering organization, managing multiple teams and engineering managers
Build and lead a high-performing engineering organization. Excel at recruiting, mentoring, and retaining top-tier engineering talent and managers
Drive the architectural direction for a complex, highly scalable, cloud-native AI security platform within your domain. Make critical high-judgment decisions on technology, architecture, and long-term design
Partner seamlessly with senior leaders across Product Management, AI Research, UX, and other engineering leaders to deliver on a cohesive product roadmap
Clearly articulate technical vision, strategy, project status, and risks to senior stakeholders and executive leadership
Foster a results-oriented culture of innovation, execution, collaboration, and engineering excellence, empowering teams to solve challenging problems

Fulltime

Senior Director, Core Data Center Services Data & Insights

The Senior Director, Core Data Center Services Data & Insights is accountable fo...

Location

United States , Redmond

Salary:

155800.00 - 277200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data, analytics, business operations, or large-scale technical environments OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data, analytics, business operations, or large-scale technical environments OR equivalent experience.
3+ years people management experience in global organizations with accountability for complex, cross-functional outcomes.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Establish end-to-end accountability for CDS data domains, ensuring clear ownership, stewardship, and quality standards across operational, capacity, financial, lifecycle, and risk data.
Assume responsibility for data that is currently produced and maintained across multiple teams, aligning it under a cohesive operating model with defined roles, standards, and expectations.
Define and maintain authoritative data sources and reduce ambiguity in metrics, definitions, and reporting used for executive decision-making.
Set the long-term vision and roadmap for how CDS data is collected, governed, integrated, and consumed.
Design scalable operating models that enable consistent data management while supporting evolving business needs.
Partner with engineering and platform teams to influence data architecture, tooling, and automation in support of reliability and scale.
Lead the delivery of high-impact insights, dashboards, and narratives that inform CO+I and CDS leadership on performance, risk, capacity, cost, and execution health.
Ensure data products are accurate, timely, and decision-oriented, enabling leaders to move quickly with confidence.
Translate complex datasets into clear, executive-ready perspectives that drive prioritization and tradeoff decisions.
Establish strong data governance, quality controls, and validation mechanisms to ensure trust and consistency across all CDS reporting.

Fulltime

Director / Senior Director of Product Management - Agentic Platform & MCP Strategy

Bloomreach is seeking a senior product leader to define and drive the product vi...

Location

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

10+ years of product management experience, with significant time spent on platform or infrastructure products
Strong Business experience in terms of thinking through how to monetize and drive value through a platform
Experience working with partners
Proven experience leading cross-cutting platform initiatives across multiple product teams
Strong technical fluency: API design, distributed systems, microservices & cloud-native architectures
AI/ML platforms or AI-enabled products
LLM architecture and conversational commerce patterns
Experience working with ecosystems and partners, including external developer platforms
Ability to operate effectively at both strategic and execution levels
Strong communication skills with technical and non-technical stakeholders

Job Responsibility

Product Vision & Strategy: Define and own the product vision and strategy for Bloomreach’s MCP server as a core platform capability
Translate Bloomreach’s agentic platform vision into concrete, phased product outcomes
Establish clear product principles for agent orchestration, interoperability, extensibility, and trust
MCP & Agentic Platform Leadership: Drive the design, orchestration and functional specification of multiple MCPs
Coordinate and synthesise agentic solutions with engineering to shape APIs, contracts, and abstractions that scale across teams and products
Balance short-term delivery through customer beta programs with long-term architectural integrity
Ecosystem & Partner Enablement: Define how ecosystem partners integrate into the Bloomreach MCPs
Own the partner-facing product experience: APIs, SDKs, documentation, and onboarding flows
Collaborate with Partnerships and Developer Relations to drive adoption and feedback loops
Cross-Product Alignment: Align product leaders across Bloomreach applications to ensure consistent agent integration patterns

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach
Leader Development Program
$1,500 professional education budget annually
Employee Assistance Program with counselors

New

Director, Data Engineering & AI

The Director, Data Engineering & AI Enablement is the senior-most technical lead...

Location

United States , Philadelphia

Salary:

150000.00 - 160000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Expert-level, current proficiency in modern data engineering: Python, SQL, Spark, streaming frameworks (e.g., Kafka), orchestration tooling, and cloud data platforms (e.g., Snowflake, Azure) - able to write and review production code personally, not only at a conceptual level
Proven, personal experience developing and deploying machine learning models and generative AI/LLM applications into production - this should reflect direct authorship, not solely direction of others' work
Hands-on experience with MLOps tooling, CI/CD pipelines, containerization, and model monitoring frameworks
Experience working across diverse, often messy enterprise data domains (financial, labor/workforce, IoT/sensor, employee activity, client/operational) preferred over deep specialization in any single domain
Demonstrated track record of delivering AI products that generated measurable business outcomes
Strong engineering leadership skills with experience building and scaling delivery-oriented technical teams - paired with a clear, recent record as a top individual technical contributor, not a manager who has drifted away from the technical work
Comfortable moving fluidly between hands-on building (coding, prototyping, debugging production issues) and strategic work (roadmaps, architecture decisions, executive communication)
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
advanced degree in a quantitative discipline preferred
7+ years of data and software engineering experience, including 4+ years building AI/ML solutions and 2+ years in engineering leadership roles

Job Responsibility

Architect and build production-grade data pipelines (batch and streaming) for the highest-priority or highest-ambiguity initiatives — spanning financial, labor/workforce, and smart building sensor, employee work, and client/operational data — setting the technical pattern the team scales from
Write code, design model architectures, and personally develop and deploy machine learning models and generative AI applications (including LLM-based solutions), particularly for new or unproven use cases before delegating to the team
Stay hands-on in production: debug critical-path issues, review production-critical code and model logic, and remain a credible technical authority by virtue of doing the work, not just overseeing it
Define and execute the AI/ML roadmap for the line of business, identifying high-value use cases across the full data landscape — predictive maintenance, demand forecasting, workforce and labor optimization, financial and margin analytics, smart building performance, and intelligent client reporting
Provide overarching oversight and governance of enterprise data architecture standards, design patterns, and data modeling principles — ensuring all engineering solutions, vendor integrations, and AI workloads conform to the established framework
Review and approve solution designs across engineering, AI, and vendor deliverables for alignment with data architecture standards
serve as the senior technical authority for data design decisions
Evaluate emerging AI technologies and vendors
build-versus-buy analysis with a bias toward owned, scalable capabilities
Stand up and mature MLOps practices: CI/CD for data and models, automated testing, model monitoring, drift detection, and retraining pipelines

What we offer

medical
dental
vision
work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

New

Director, Data Engineering

The CNPF Data & AI organisation is looking for a Director of Data Engineering to...

Location

Ireland , Dublin 18

Salary:

Not provided

Mastercard

Expiration Date

October 10, 2026

Requirements

Significant experience leading the design and delivery of large-scale data platforms in production
Deep expertise in distributed data processing and the modern data stack — Spark, Databricks, Kafka, dbt, Delta/Iceberg, and similar
Strong hands-on background in data architecture, modelling, streaming, and lakehouse design on AWS
Proven track record of taking data systems from concept to secure, scalable production
Solid grasp of data governance, lineage, quality, and observability frameworks
Excellent technical communication — able to align engineers, AI scientists, product managers, and executives
Comfortable operating as a player-coach: setting direction, reviewing designs, and going deep when needed

Job Responsibility

Own the data engineering strategy and technical direction for CNPF, with a strong focus on enabling agentic AI and GenAI products in production
Architect and deliver the data foundations for multi-agent systems — including MCP servers exposing data and tools to agents, retrieval pipelines, vector stores, feature stores, and knowledge graphs
Lead the design of context-engineering infrastructure that lets agents reason over Mastercard data safely, with the right grounding, freshness, and access controls
Drive lakehouse, streaming, and event-driven platform design (Databricks, Spark, Kafka, Delta/Iceberg) to support both batch analytics and low-latency AI use cases
Ensure data systems meet Mastercard standards for governance, lineage, data quality, observability, and risk — including the additional requirements that come with AI consumption (PII handling, prompt/response logging, audit trails)
Set technical standards for how data products are exposed to agents and applications, including MCP design patterns, schema contracts, and tool interfaces
Partner with Applied AI on evaluation and runtime data needs — training sets, eval datasets, retrieval quality, and feedback loops
Stay hands-on enough to make sharp architectural calls, review designs, and unblock the team on hard problems
Guide a team of senior data engineers, providing technical direction and growing their capability over time

Fulltime

Senior Data Platform Engineer

Pinecone is looking for a Senior Data Engineer to own and grow the systems that ...

Location

United States , New York City

Salary:

Not provided

Pinecone

Expiration Date

Until further notice

Requirements

4+ years building and operating data pipelines in production
Strong SQL, with comfort in BigQuery (or Snowflake/Redshift) writing non-trivial analytical queries, optimizing performance, and reasoning about correctness
Strong coding skills, with comfort writing ETL/rETL, consuming services and integrations against REST/GraphQL APIs, and producing clean code that others can reuse and maintain
Experience with a modern orchestrator (Airflow, Dagster, Prefect, or similar) running containerized workloads
Comfort with Docker, Kubernetes, and modern cloud infrastructure best practices
Experience integrating systems, pulling data between APIs, databases, and warehouses
handling auth, pagination, schema drift, and incremental loads
Hands-on experience using AI coding tools (Claude Code, Cursor, or similar) as part of your workflow
Ability to design, build, and own systems end-to-end in a highly autonomous environment

Job Responsibility

Own and build the ingestion layer. Design, deploy, and scale pipelines that pull from third-party APIs, internal services, and SaaS tools into BigQuery. Add new sources as the business demands
Own and build the transform layer. Develop and maintain our DBT project, including staging, intermediate, and marts. Maintain core business datasets: users, organizations, indexes, accounts, usage, revenue. Write tests, snapshots, and documentation. Drive data quality and trust
Own and build the orchestration platform. Operate the Airflow-on-Kubernetes environment that runs our ingest and DBT workloads. Improve reliability, scalability, observability, and CI/CD
Establish and maintain the business-context and metrics layer. Curate metric definitions and documentation that feed both human analysts and agents
Manage infrastructure cost and performance. Manage BigQuery, GKE, Cloud Run, and Kafka costs, right-size compute, and make sure the platform stays efficient
Lead and own mission-critical company-level analyses. Partner with finance, GTM, product, and exec stakeholders to answer business questions, design metrics, run experiments and evaluations, build views in BI tools, and ship dashboards that support key business decisions as well as regular reporting to the Board of Directors
Enable other teams to self-serve. Onboard analysts and non-DE stakeholders onto the warehouse, help them with best practices, and create reusable models and tooling
Set the standard for AI-assisted data workflow. Establish best AI practices and patterns that enable a small data team to operate with outsized leverage

What we offer

Comprehensive health coverage including medical, dental, vision, and mental health resources
401(k) Plan
Equity award
Flexible time off
Paid parental leave
Annual Company Event
WFH Equipment Stipend

Fulltime

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Senior Director, Data Platform Engineering

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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