Senior Data Platform Engineer Job at Adyen (Amsterdam)

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

Senior Data Platform Engineer

Join our Data Platform team at 10x Genomics to architect and implement our strat...

Location

United States , Pleasanton

Salary:

168200.00 - 227600.00 USD / Year

10x Genomics

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Management, or a related field, or equivalent experience
5+ years of hands-on experience in software engineering focused on data platform development, distributed systems, or enterprise integrations
Proven experience designing and implementing highly scalable data platforms on major cloud environments (e.g., AWS, GCP, or Azure)
Deep proficiency in one or more general-purpose programming languages (e.g., Python, Java, or similar)
Strong foundation in computer science fundamentals, including data structures, algorithms, and system design

Job Responsibility

Architect and implement the canonical data layer and Event-Driven Architecture (EDA) using technologies like Apache Iceberg and Kafka to decouple applications and ensure real-time data flow
Design, build, and optimize high-volume, code-first data pipelines (real-time and batch) across a large application landscape (e.g., Salesforce, Oracle, Workday)
Establish Amazon S3 as the Single Source of Truth (SSOT) and govern data using principles like the Medallion Architecture (Silver and Gold layers) and schema evolution
Develop, test, and maintain robust and scalable ELT pipelines and data models in Snowflake, including leveraging advanced features like Snowpipes, Streams, and Stored Procedures
Develop the data presentation layer for self-service analytics, including the Natural Language Query (NLQ) interface integrated with Generative AI (e.g., Bedrock)
Lead technical efforts to migrate key business domains off legacy middleware and onto the new platform, eliminating the 'Integration Bottleneck'
Define and enforce data governance, quality, and security standards across the Unified Data Platform
Collaborate with the Architecture Review Board (ARB) to promote modern approaches such as serverless computing and Domain-Driven Design
Take ownership of the full development lifecycle, from prototyping and design through deployment, monitoring, and operational excellence

What we offer

Equity grants
Comprehensive health and retirement benefit programs
Annual bonus program or sales incentive program
Health Package
Easy-to-use Benefits
Family oriented policies including parental leave
Generous Time Off
Award-Winning Workplace

Fulltime

Senior Data Platform Engineer

As a Senior Data Platform Engineer, you will design and deliver innovative, reli...

Location

New Zealand , Wellington

Salary:

Not provided

HSO

Expiration Date

Until further notice

Requirements

5+ years’ experience developing production‑grade data platform and reporting solutions
A degree in Information Technology or a related field
Strong experience with modern cloud technologies and data platforms
Proven experience leading projects and technical teams end to end
In‑depth knowledge of source control, testing frameworks and development methodologies
Experience applying DevOps practices across complex development lifecycles
Strong understanding of data security, privacy obligations and risk mitigation
Excellent problem‑solving and organisational skills, with the ability to manage competing priorities
High emotional intelligence and confidence working with diverse clients and stakeholders
A passion for learning emerging technologies and sharing knowledge with others

Job Responsibility

Lead the design, implementation, testing, support and ongoing maintenance of modern data platform solutions
Apply architectural patterns and best practices to create secure, scalable and maintainable solutions
Deliver end‑to‑end data platform projects, either independently or by leading project teams
Develop and continuously improve data platform lifecycles using DevOps principles
Work directly with customers to scope requirements, identify opportunities and deliver solutions that meet business needs
Clearly communicate complex technical concepts to non‑technical stakeholders
Deliver client workshops to upskill teams and support adoption of new technologies
Act as a technical leader and coach across the Aware Group, supporting team members to achieve project, customer and development goals
Proactively identify risks, issues and mitigation strategies throughout project delivery
Contribute to best practice, knowledge sharing and continuous improvement across HSO

Fulltime

Senior Data Platform Engineer

As a Data Platform Engineer, you will be responsible for managing one of the lar...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Familiar with infrastructure automation and configuration management tools (e.g. Ansible, Terraform, Puppet)
Strong system administrator/platform engineer background with experience in large-scale distributed systems
Experienced with infrastructure and private cloud systems (on-premise)
A team player with strong communication skills, able to work closely with diverse stakeholders (analysts, data scientists, data engineers, infrastructure, and security teams)
Experience developing and maintaining: Distributed data and compute systems (Hadoop, Druid, Trino, etc)
Kubernetes (k8s, Docker)
Hadoop ecosystems (Hive, YARN, HDFS, Kerberos)

Job Responsibility

Design, develop, operate, and maintain scalable, reliable, fault-tolerant, and high-performance big data platforms
Work with distributed systems in all shapes and flavors (databases, file systems, compute, etc.)
Shape and maintain continuous improvements and deployment of new clusters
Implement observability solutions (logging, monitoring, alerting) to ensure system reliability and performance
Optimize performance of large-scale distributed data platforms with appropriate cluster configurations, and resource management
Practice sustainable incident response and blameless postmortems, with a focus on automation and root cause analysis
Improve security and compliance by implementing access controls, encryption, and best practices for data governance
Design and build automation tools to reduce toil and enhance the reliability of data platforms
Self-service infrastructure to empower data teams while maintaining platform stability

Senior Data Platform Engineer

In 2025, the Data Platform Engineering team is going to implement various data p...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

5+ years of relevant experience as a data engineer
Bachelor's or Master's degree in CS/CE/CIS (or equivalent experience)
Knowledge of Kotlin / Java / Scala / Python / SQL
Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake is preferred
Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture
Possess strong working knowledge of Real-time/Batch processing systems
Have experience with working data at PB scale

Job Responsibility

Engage in technical decision-making, custom development, integration, and performance optimization at the foundational level, extending to the development of service layer infrastructure components, application layer, and data processing, including third-party data integration
Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming)
Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines
Contribute to defining shared data engineering tool standards
Provide guidance to junior engineers
Take the lead in system design
Drive medium and large-scale projects that create an impact across the entire team
Provide dotted-line guidance to Data Platform Engineer II(s) to support them in driving project delivery

Fulltime

Senior Data Platform Engineer

In 2025, the Data Platform Engineering team is going to implement various data p...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

5+ years of relevant experience as a data engineer
Bachelor's or Master's degree in CS/CE/CIS (or equivalent experience)
Knowledge of Kotlin / Java / Scala / Python / SQL
Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake is preferred
Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture
Possess strong working knowledge of Real-time/Batch processing systems
Have experience with working data at PB scale

Job Responsibility

Engage in technical decision-making, custom development, integration, and performance optimization at the foundational level, extending to the development of service layer infrastructure components, application layer, and data processing, including third-party data integration
Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming)
Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines
Contribute to defining shared data engineering tool standards
Provide guidance to junior engineers

Fulltime

Senior Data Platform Engineer

We are seeking a Senior Data Platform Engineer with at least 8-10 years of exper...

Location

United States

Salary:

81045.75 - 174000.00 USD / Year

Stride, Inc.

Expiration Date

Until further notice

Requirements

8-10 years of experience in data architecture and data engineering
3-5 years of hands-on experience with Snowflake in production environments
3-5 years of custom python and shell script development
Strong expertise with AWS services, particularly those relevant to data warehousing, data lakes, and security (e.g., S3, Lambda, IAM)
Knowledgeable of dbt and modern ETL/ELT frameworks
Experience and familiarity with information security and network frameworks
Experience with relationship databases including PostgreSQL and Oracle
Solid understanding of data security, privacy regulations (FERPA, GDPR, etc.), audit (SOC) and compliance frameworks
Proven ability to design enterprise-scale data architecture that aligns with business strategy
Excellent communication and leadership skills with consultative mindset

Job Responsibility

Design and implement scalable, secure, and high-performance data architecture solutions using Snowflake and AWS
Lead architecture and design of ELT/ETL pipelines using Python, Fivetran, shell scripting and dbt
Collaborate cross-functionally with business partners, data engineers, analysts, product managers, compliance teams and information security to translate business needs into scalable data solutions
Ensure regulatory and data privacy compliance in data design and usage, particularly in the context of education data
Optimize cost and performance of data solutions in cloud environments
Ensure full lifecycle development standards are followed.

What we offer

Health benefits
Retirement contributions
Paid time off
Eligible employees may receive a bonus.

Fulltime

Senior Data Platform Engineer

Data Platform Engineers at Rocket Money further our mission by building and main...

Location

United States , San Francisco; Washington, D.C.; New York City; Detroit; Phoenix; Miami; Denver

Salary:

160000.00 - 200000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment
Highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform)
Comfortable working with bash/shell scripting
4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation)
2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures
Successfully 'professionalized' data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms
Have a bias toward action and aren't paralyzed by imperfect solutions
Comfortable being the first person to tackle a problem
Take ownership seriously—not just of writing code, but of outcomes
Have strong opinions, weakly held

Job Responsibility

Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance
Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs
Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates
Continuously improve failure rates for data sources by moving alerting “to the left”
Analyze patterns in how source data is generated, modeled, and consumed
Work with stakeholders to implement the best solution when new data sources are added
Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures
Document everything you build knowing that you're creating the foundation others will build upon
Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support
Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule

What we offer

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)

Fulltime

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