Director, Data Architect and Engineering Job at Marriott Bonvoy (Shanghai)

Director, Data Architect and Engineering

The Director, Data Architect and Engineering leads technical strategy of data an...

Location

China , Shanghai

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

10+ years of experience in big data platform management, data engineering
Proven leadership in cross-functional environments and large-scale transformation, focusing on delivery business value
Bachelor or above degree in Computer Science, Engineering, Data Science, Analytics or a related field
Hands-on experience with Data/AI engineering work
Strong knowledge of data architecture, data governance, and MLOps best practices
Familiarity with big data technology, especially cloud-native platform (e.g. Alicloud, Snowflake, Databricks, etc.)
Strong analytical, strategic planning, and project management skills

Job Responsibility

Define technical strategy, direction, and roadmap for data architecture and engineering
Lead and provide hands-on support to end-to-end lifecycle of GC Marriott’s data platform, including architecture design, technical roadmap development, implementation, and continuous optimization
Lead, mentor, and coach a team of Data/AI Engineers, fostering a culture of continuous learning, innovation, and accountability
Build and maintain strong, collaborative relationships with key technical stakeholders (GC/HQ), third-party vendors, industry partners, and core business teams
Oversee the development, implementation, and refinement of GC data governance framework
Provide technical oversight for data engineering and AI initiatives, ensuring alignment with architecture standards and business objectives
Drive the delivery of business value through data initiatives, measuring the impact of data products and tools on key business metrics
Stay abreast of emerging trends, technologies, and best practices in data & AI

Fulltime

Director, Data Engineering

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

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

Director Data Engineering, Platform

The Director of Data Engineering, Platform is a key technical leadership role re...

Location

United States , Chicago, IL; Dallas, TX; New York, NY; San Francisco, CA

Salary:

200000.00 - 300000.00 USD / Year

JLL

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or a related technical field.
10+ years of hands-on experience in data engineering, software engineering, or related fields.
5+ years of formal experience in a people management role, leading and mentoring engineering teams.
Proven experience designing, building, and operating large-scale, cloud-native data platforms (AWS, GCP, or Azure).
Expert-level knowledge of modern data architecture patterns and big data technologies (e.g., Spark, Kafka, Flink, Airflow).
Deep experience with modern unified data platforms like Databricks, and cloud data warehouses (e.g., Snowflake, Big Query, Redshift), with a strong understanding of Lakehouse architecture.
Strong programming skills in at least one language, such as Python, Scala, or Java.
Candidates must be authorized to work in the United States without sponsorship.

Job Responsibility

Build, lead, mentor, and inspire a high-performing, globally distributed data platform team.
Define and execute the technical strategy and roadmap for the enterprise data platform.
Manage hiring, performance, career development, and resource allocation.
Champion agile methodologies, a DevOps mindset, and a culture of operational excellence.
Partner with the central Data Governance team to implement technical solutions that enforce data policies.
Build platform capabilities for data lineage, metadata management, and data quality monitoring.
Architect and implement robust data security controls.
Develop the scalable, foundational data services and self-service tools that empower Data Science and Analytics teams.
Build a performant and reliable platform capable of supporting the entire analytics lifecycle.
Engineer performant and reliable data pipelines.

What we offer

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

Fulltime

Director Data Engineering - Bank Tech

Capital One is seeking a Director, Data Engineering who is equal parts visionary...

Location

United States , Wilmington; McLean; Philadelphia

Salary:

244700.00 - 307200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 7 years of experience in software engineering or data engineering
At least 5 years of people management experience
At least 3 years of experience with Big Data and data streaming
At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform)

Job Responsibility

Lead, manage, and grow multiple teams of product focused software & data engineers
Embrace and incubate emerging technology and open-source products across all platforms
Work to modernize our existing tech stacks and data platforms
Collaborate with internal teams to find areas of opportunities for automation and machine learning
Partner with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications
Work within and across Agile teams to design, develop, test, implement and support technical solutions across full-stack development tools and technologies
Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications
Conduct design and code review to ensure compliance with standards

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Director, Data Engineering & Analytics

We are seeking a proven Data and Analytics leader to run our data team. This rol...

Location

United States , Washington, DC

Salary:

165000.00 - 295625.00 USD / Year

Arcadia

Expiration Date

Until further notice

Requirements

Expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records)
Deep expertise with Snowflake as a data platform, including performance optimization, cost management, and architecting for scale
Hands-on experience with modern data stack: dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion
Have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing
Experience with utility data, billing systems, or similar high-volume transactional data is highly valued
12+ years in the workforce with significant experience in data-intensive environments
Top-notch technical skills covering both data and quantitative techniques: data facility, descriptive analytics, and predictive modeling
SQL and Python are a must, with demonstrated ability to write optimized queries for large-scale data processing
Experience with data governance, security, and compliance in handling sensitive customer data

Job Responsibility

Build, lead, and scale a successful data organization
Oversee the processing and analysis of several million utility bills per month, ensuring data pipeline reliability, accuracy, and scalability
Ensure data quality and that we are building our products to give our customers the insight they need
Build a multi-year strategy around data infrastructure, enterprise data modeling, and processing capabilities
Build a framework for data investments that ensures we are appropriately balancing R&D with products that deliver strong return on investment
Lead the optimization and evolution of our Snowflake-based data architecture to handle exponential data growth
Own the enterprise unified data model and architecture that will power all of Arcadia’s applications and use cases

What we offer

competitive benefits and equity component to the package

Fulltime

Senior Director, Data Platform Engineering

The Senior Director, Data Platform Engineering is accountable for architecting, ...

Location

United States , Boston

Salary:

220000.00 - 323000.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

10+ years in data engineering, platform engineering, or distributed systems roles
5+ years leading teams delivering enterprise-scale data platforms in production
Proven history modernizing or rebuilding data platforms with measurable outcomes
Strong track record managing third-party partners (onshore and offshore)
Deep hands-on experience with Databricks and/or Snowflake, Spark, SQL, Delta Lake, Data Hub, and cloud object storage
Ability to drive selection around an optimized set of tooling
Experience implementing medallion architectures and scalable transformation frameworks
Strong experience with streaming and event-driven data systems
Solid understanding of cloud security and cost optimization
Enterprise-minded leader able to influence executives and earn credibility with engineers

Job Responsibility

Architect, build, and implement a modern lakehouse platform using Databricks or equivalent technologies, cloud object storage, and best-in-class open-source tooling
Establish and operationalize medallion standards for ingestion, transformation patterns, performance, schema evolution, and data lifecycle management
Design scalable, resilient ingestion and transformation frameworks supporting core enterprise domains (customer, device/telemetry, monitoring events, operations, finance, supply chain, marketing)
Lead migration from legacy pipelines and systems including dual-run strategies and decommissioning
Manage technical debt deliberately and evolve the platform as scale and use cases expand
Drive strategy and execution using partners and internal resources
Drive the execution of enterprise-wide, cross-functional data initiatives by serving as the technical and delivery lead
Build and scale event-driven and streaming data pipelines for near real-time operational and product use cases
Implement robust, streaming data ingestion architectures with clear reliability and observability standards
Ensure real-time and batch pipelines coexist cleanly with consistent governance hooks, lineage, and quality controls

What we offer

A mission- and values-driven culture and a safe, inclusive environment
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation
A full range of medical, retirement, and lifestyle benefits

Fulltime

Director of Engineering, Data Path Development

We are seeking a seasoned Director of Engineering, Data Path Development to lead...

Location

United States

Salary:

155500.00 - 376000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven experience managing large, distributed engineering teams in storage & embedded systems development, or related field
Demonstrated ability to mentor, evaluate, and lead senior technical teams through complex development challenges and innovation cycles
Exceptional communication and stakeholder management skills, with the ability to collaborate across engineers, architects, and executive teams
Extensive technical experience in a variety of storage technologies such as NVMe, Zstandard, data virtualization, deduplication, compression, multithreading and defragmentation
Proficiency in Embedded C++ and Golang
Familiarity with AMD and Intel platforms
Bachelor’s degree in computer science or similar field
15 or more years of related work experience, including 10 years of people management experience

Job Responsibility

Provide technical oversight and guidance to ensure engineering excellence in areas such as data virtualization, deduplication, compression, and defragmentation
Validate and evaluate technical decisions made by the team to ensure correctness, longevity, and maintainability of solutions
Manage a diverse engineering organization, including multiple managers and a team of approximately 50 engineers
Foster an inclusive, collaborative, and high-performing team culture
Define and lead the architectural planning for next-generation storage platforms, ensuring alignment with emerging technologies and industry trends
Collaborate with senior technologists and stakeholders to maintain HPE’s competitive edge in the storage domain
Explore and implement AI-driven development practices, CI/CD pipelines, and automated code reviews to enhance team efficiency and product quality
Establish scalable processes for effective delivery and continuous learning within the team
Work closely with product management and other stakeholders to align technical objectives with business goals and customer needs
Advocate for customer-centric solutions while responding to evolving market demands

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Engineering Director, AI Solutions and Automation (ASA)-AI Product Acceleration

We are seeking a highly accomplished Engineering Director with extensive technic...

Location

United States , Bellevue, WA

Salary:

271000.00 - 347000.00 USD / Year

Select Country

Director, Data Architect and Engineering

Job Description

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