Principal Platform Engineer - Data & AI Job at ResMed (San Diego)

Principal Data Engineer

We are on the lookout for a Principal Data Engineer to help define and lead the ...

Location

United Kingdom

Salary:

Not provided

Dotdigital

Expiration Date

Until further notice

Requirements

Extensive experience delivering python-based projects in the data engineering space
Extensive experience working with SQL and NoSQL database technologies (e.g. SQL Server, MongoDB & Cassandra)
Proven experience with modern data warehousing and large-scale data processing tools (e.g. Snowflake, DBT, BiqQuery, Clickhouse)
Hands on experience with data orchestration tools like Airflow, Dagster or Prefect
Experience using cloud environments (e.g. Azure, AWS, GCP) to process, store and surface large scale data
Experience using Kafka or similar event-based architectures e.g. (Pub/Sub via AWS SQS, Azure EventHubs, AWS Kinesis)
Strong grasp of data architecture and data modelling principles for both OLAP and OLTP workloads
Capable in the wider software development lifecycle in terms of agile ways of working and continuous integration/deployment of data solutions
Experience as a lead or Principal Engineer on large-scale data initiative or product builds
Demonstrated ability to architect data systems and data structures for high volume, high throughput systems

Job Responsibility

Lead the design and implementation of scalable, secure and resilient data systems across streaming, batch and real-time use cases
Architect data pipelines, model and storage solutions that power analytical and product use cases
using primarily Python and SQL via orchestration tooling that run workloads in the cloud
Leverage AI to automate both data processing and engineering processes
Assure and drive best practices relating to data infrastructure, governance, security and observability
Work with technologists across multiple teams to deliver coherent features and data outcomes
Support the data team to help adopt data engineering principles
Identify, validate and promote new tools and technologies that improve the performance and stability of data services

What we offer

Parental leave
Medical benefits
Paid sick leave
Dotdigital day
Share reward
Wellbeing reward
Wellbeing Days
Loyalty reward

Fulltime

Principal Consulting AI / Data Engineer

As a Principal Consulting AI / Data Engineer, you will design, build, and optimi...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments
Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink
Experience with cloud platforms (AWS, Azure, or GCP) and Databricks
Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
Track record of engaging senior executives and influencing strategic decisions
Strong consulting and stakeholder management skills with client-facing experience
Background in MLOps, ML pipelines, or AI solution delivery highly regarded
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
Translate highly technical solutions into clear business value propositions for non-technical audiences
Mentor and guide teams of engineers and consultants to deliver high-quality solutions
Champion best practices across data engineering, MLOps, and cloud delivery
Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with opportunities to lead large-scale client programs
Exposure to diverse industries and client environments, including executive-level engagement

Fulltime

Principal Data Engineer

Our Principal Data Engineers are responsible for leading and delivering strategi...

Location

United Kingdom , Bristol; London; Manchester; Swansea

Salary:

100000.00 - 115000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach
Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients
Experience building trusted advisor relationships with senior client stakeholders within the public sector.
Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery
Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry
Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients.
Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector
Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity
Experience of working with sales professionals and commercial responsibility for strategic organisational goals.
Experience working directly with customers and users within a technology consultancy

Job Responsibility

Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials
Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers
Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge
Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission
Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues
Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events

What we offer

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Remote Working
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Fulltime

Principal Data Engineer

A VC-backed conversational AI scale-up is expanding its engineering team and is ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark/PySpark
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity
the chance to join a rocketship

Fulltime

Principal Data Engineer

PointClickCare is searching for a Principal Data Engineer who will contribute to...

Location

United States

Salary:

183200.00 - 203500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization

Job Responsibility

Lead and guide the design and implementation of scalable streaming data pipelines
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Principal Engineer, AI Strategy and Innovation

Shape the architecture and execution of CLEAR’s AI platform strategy, from infra...

Location

United States , New York

Salary:

250000.00 - 290000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure
At least 5 years of experience with various AI technologies including GenAI, ML, Deep Learning, RPA or others
Proven ability to scale AI capabilities into high-throughput, low-latency environments
Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.)
Experience leading AI strategy and platform adoption in enterprise-scale environments
Skilled at translating regulatory and compliance requirements into responsible AI practices
Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives
Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners
Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners

Job Responsibility

Define and scale CLEAR’s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications
Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices
Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time
Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows
Influence cross-functional stakeholders across the business, fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors
Lead the AI Governance group and drive best practices across business functions
Track and optimize KPIs on AI adoption, model performance, scalability, and business impact

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches every day
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

Fulltime

Principal Engineering Manager - Applied AI

We are looking for a Principal Engineering Manager to join our growing Applied A...

Location

United States , Seattle

Salary:

240870.00 - 297652.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
4+ years working as an engineering manager
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming language
Substantial depth and breadth of management experience to lead and grow an Applied AI team
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, project planning, iterative implementation, and successful product launches

Job Responsibility

Lead a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Grow, coach, build and scale the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Sr. Principal Software Engineer - Applied AI

We are looking for a Principal Software Engineer to join our growing Applied AI ...

Location

United States , Seattle

Salary:

277391.00 - 342391.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming languages
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, fast shipping, iterative implementation, and successful product launches
Experience and passion for mentoring and encouraging collaborative teams
Experience in cultivating a strong engineering culture in an agile environment

Job Responsibility

Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Work with a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Grow, coach, build and scale talent on the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Principal Platform Engineer - Data & AI

ResMed

Location:
United States , San Diego

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 20, 2026

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