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data engineering manager

Cognite - AI for Industry

<p></p><div><div><h1 class="jobSectionHeader"><b>What Cognite is:</b><b> </b><b>Relentless</b><b> </b><b>to achieve</b></h1>
<p></p>
<p>Cognite operates at the forefront of <b>industrial digitalization, building AI</b>, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.</p>
<p>
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.</p>
<p>
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.</p></div><p></p><div><br>
<h1 class="jobSectionHeader"><b>
About the role</b></h1>
<p>
Cognite's European Delivery organisation is growing in both scale and technical ambition. As Manager of Data Engineering, you will lead, develop, and retain a team of Data Engineers operating across some of the most complex industrial AI engagements in the market &mdash; ensuring they are technically strong, professionally developed, and set up to deliver at the standard our customers expect.</p>
<p>
This is not a pure people management role. You will carry a meaningful delivery commitment &mdash; approximately 50% billable capacity &mdash; working on customer projects alongside your team. Your credibility as a manager depends on being a practitioner: you need to understand the work at depth in order to coach it, assess it, and<br>
raise the bar on it.</p>
<p>
You will be part of the Value Delivery (VD) Europe profession leadership team and work closely with Portfolio Managers, and cross-functional leaders across Value Delivery.</p>
<h1 class="jobSectionHeader"><b>
How you'll demonstrate </b><b>Ownership</b></h1>
</div>
<div><p><b>People Development &amp; Performance</b></p>
<ul>
<li>Own the professional development of your Data Engineers spanning junior to seasoned Data Engineers, running structured 1:1s, calibrated performance reviews, and growth conversations grounded in the Data</li>
<li>Engineering framework.</li>
<li>Provide technically specific coaching &mdash; not generic management feedback. Your engineers should leave conversations with a clearer understanding of what good looks like and how to close the gap.</li>
<li>Identify and address skill gaps proactively, before they surface as delivery problems on customer engagements.</li>
<li>Build a team culture of ownership, technical rigour, and AI-first delivery &mdash; consistent with the behaviours defined in the EDF at every level</li>
</ul>
<p><b>Delivery Accountability</b></p>
<ul>
<li>Carry approximately 50% billable capacity on customer projects &mdash; this is a firm expectation, not a stretch target.</li>
<li>Review Statements of Work (SOWs) before your engineers are committed to them: assess scope fit, identify skill gaps, and flag delivery risks before they become customer problems.</li>
<li>Champion your team's interests in staffing decisions &mdash; actively match engineers to engagements where they can deliver and grow, not just where there is a vacancy to fill.</li>
<li>Act as an escalation point when delivery gets hard. Be the steady hand, not a passive observer.</li>
</ul>
<p><b>Profession &amp; Team Building</b></p>
<ul>
<li>Contribute to standardising delivery practices across Value Delivery Europe &mdash; drive consistency in how we design, build, and document data engineering solutions.</li>
<li>Organise and lead professional development sessions relevant to the team's growth areas and project landscape.</li>
<li>Collect, prioritise, and escalate product feedback from your engineers and customers to the relevant internal teams.</li>
<li>Lead or contribute to hiring for your team &mdash; define what good looks like for each level and bring that standard to interviews and onboarding.</li>
</ul>
<p><b>AI-First Leadership</b></p>
<ul>
<li>Model and reinforce AI-first delivery practices across your team &mdash; not as a policy, but as a standard of work.</li>
<li>Hold your engineers to the AI fluency expectations defined in the EDF at each level: daily use, responsible validation, knowledge sharing, and continuous upskilling.</li>
<li>Stay current on AI tooling relevant to industrial data engineering and bring that knowledge into your team's practice.</li>
</ul>
</div><div></div><div><div><h1 class="jobSectionHeader"><b>What we are looking for</b></h1>
<p><b>
Required</b></p>
<ul>
<li>Proven hands-on data engineering background &mdash; production-grade Python, SQL, REST APIs, and cloud-native pipeline development. You must be able to review your team's technical work and have credible technical conversations with customers.</li>
<li>At least one year of meaningful association with Cognite's platform and products, with direct delivery experience on customer engagements. External candidates will not be considered for this role.</li>
<li>Demonstrated ability to develop people &mdash; not just manage tasks. You have concrete examples of engineers you have helped grow, with specific feedback that changed how they work.</li>
<li>Customer-facing confidence: you can hold a technical conversation with a senior customer stakeholder, translate engineering decisions into business language, and manage expectations under pressure.</li>
<li>Strong operational judgement: you can read a SOW, spot a risk, and have a difficult conversation about scope before it becomes a delivery failure.</li>
</ul>
</div></div><div><p><b>Strong Advantage</b></p>
<ul>
<li>Formal or informal people management experience &mdash; direct reports, tech leads, or structured mentorship programmes.</li>
<li>Deep Cognite Data Fusion expertise: data modelling, SDK development, AI/LLM integration patterns, deployment packs.</li>
<li>Experience working in a Value Delivery or professional services environment where you were simultaneously accountable for delivery and team capability. Familiarity with Cognite's EDF and comfort using it as a coaching and calibration tool.</li>
<li>Track record of hiring &mdash; you know what good looks like at different levels and you can articulate it clearly.</li>
</ul><h2 class="jobSectionHeader"><b>How We Think About This Role</b></h2>
<p>
The best candidate for this role is an E3 Data Engineer &mdash; or equivalent &mdash; who is ready to multiply their impact through others, not just through their own technical output. Technical credibility is the foundation. A manager who cannot assess their engineers' work, engage meaningfully in SOW reviews, or hold a technical conversation with a customer will lose the team's respect quickly in this environment. People development is the job. The 50% delivery commitment is real &mdash; but the primary measure of success in this role is whether the Data Engineers on your team are growing, performing, and staying.</p>
<h2 class="jobSectionHeader"><b>
Why This Role</b></h2>
<ul><li>High visibility within Cognite's European Delivery organisation &mdash; direct line to VP Delivery Europe.</li>
<li>Meaningful influence over how Data Engineering is practised and developed across VD Europe.</li>
<li>Ownership of a team at a critical growth stage &mdash; the work you do here shapes the function for years.</li>
<li>Part of a profession leadership team that is actively building something, not maintaining the status quo.</li></ul></div><div></div><div><br>
<div></div>
<div></div><div><b>Learn more about us</b></div><br>
<div></div>
<div></div>
<div></div><div><ul><li>Impact 2025</li>
<li>Cognite's Industrial AI: Moonshot</li>
<li>We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.</li></ul><br>
</div>
<div></div><div><b><i>Equal Opportunity</i></b></div>
<div><i>Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.</i></div></div></div>

Data Engineering Leader

AQ International

<div><p>Here at Precision AQ we are building a Data Hub, a centralized platform team, to be responsible for consolidating legacy data infrastructure, establishing enterprise data foundation and governance and enabling AI/ML capabilities across the organization. The Data Hub is moving from strategy to execution. We have a charter, a roadmap, executive sponsorship, and a clear mandate: consolidate fragmented data pipelines into a governed, scale able platform that serves multiple business units and product lines. We are now hiring an engineering leader who can build and run the team.</p>
<p><b>
Job Summary:</b></p>
<ul>
<li>Stand up and scale a high-performing engineering team</li>
<li>Own day-to-day engineering operations: sprint delivery, technical quality, capacity planning</li>
<li>Drive technical excellence: architecture decisions, code quality, DevOps/GitOps practices, production reliability</li>
<li>Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks</li>
<li>Partner with the SVP on hiring, team development, vendor relationships and strategic planning</li>
</ul>
<p><b>Key Responsibilities:</b></p>
<ul>
<li>Engineering Team Leadership: Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow. You are accountable for the team's output, quality, and morale.</li>
<li>Sprint Delivery and Capacity Management: Own the engineering delivery cadence. Run sprint planning, standups, and retrospectives. Manage capacity across concurrent workstreams (platform build, migrations, feature development). Ensure commitments are realistic and met.</li>
<li>Technical Design and Architecture: Lead technical design reviews and architectural decisions. Ensure solutions are scalable, maintainable, and aligned with our medallion data architecture. You don't need to design everything yourself, but you need to ensure designs are sound before they go to production.</li>
<li>Engineering Quality and Standards: Establish and enforce engineering practices: such as code review, branching strategy, CI/CD, testing, documentation, incident management.</li>
<li>Partner with SVP on Hiring and Onboarding.</li>
<li>Cross-Functional Coordination: Serve as the engineering interface to Insights Hub, Evidence Solutions, Product Solutions, and IT. Translate business requirements into technical scope. Manage dependencies with Corporate IT, Security, and external vendors. Escalate blockers early and clearly.</li>
<li>Platform Operations and Reliability: Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.</li>
</ul>
<p><b>Education and Experience:</b></p>
<ul>
<li>5/8+ years in data engineering, analytics engineering, or platform engineering roles</li>
<li>3+ years leading engineering teams (hiring, performance management, delivery accountability)</li>
<li>Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools</li>
<li>Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds</li>
<li>Experience operating in regulated or compliance-sensitive environments</li>
<li>Be able to review code, debug production issues and make sound architectural judgements.</li>
</ul>
<p><b>This hands-on leadership role is for you if:</b></p>
<ul>
<li>You've built and scaled engineering teams and enjoyed it</li>
<li>You're energized by the challenge of consolidating legacy systems into something better</li>
<li>You're comfortable with ambiguity and can make progress without perfect information</li>
<li>You care about engineering craft: clean code, good tests, clear documentation</li>
<li>You want to be close to the work</li>
<li>You can balance delivery pressure with sustainable team health</li>
<li>You're excited by the opportunity to shape a function, not just manage one</li>
</ul><p></p><div>
<p>Any data provided as a part of this application will be stored in accordance with our Privacy Policy.</p>
<p>
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.</p>
<p>
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.</p>
<p><b>
Recruitment Fraud Warning: </b>Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.</p></div></div>

Engineering Director

Precision Medicine Group

<div><p>Here at Precision AQ we are building a Data Hub, a centralized platform team, to be responsible for consolidating legacy data infrastructure, establishing enterprise data foundation and governance and enabling AI/ML capabilities across the organization. The Data Hub is moving from strategy to execution. We have a charter, a roadmap, executive sponsorship, and a clear mandate: consolidate fragmented data pipelines into a governed, scale able platform that serves multiple business units and product lines. We are now hiring an engineering leader who can build and run the team.</p>
<p><b>
Job Summary:</b></p>
<ul>
<li>Stand up and scale a high-performing engineering team</li>
<li>Own day-to-day engineering operations: sprint delivery, technical quality, capacity planning</li>
<li>Drive technical excellence: architecture decisions, code quality, DevOps/GitOps practices, production reliability</li>
<li>Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks</li>
<li>Partner with the SVP on hiring, team development, vendor relationships and strategic planning</li>
</ul>
<p><b>Key Responsibilities:</b></p>
<ul>
<li>Engineering Team Leadership: Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow. You are accountable for the team's output, quality, and morale.</li>
<li>Sprint Delivery and Capacity Management: Own the engineering delivery cadence. Run sprint planning, standups, and retrospectives. Manage capacity across concurrent workstreams (platform build, migrations, feature development). Ensure commitments are realistic and met.</li>
<li>Technical Design and Architecture: Lead technical design reviews and architectural decisions. Ensure solutions are scalable, maintainable, and aligned with our medallion data architecture. You don't need to design everything yourself, but you need to ensure designs are sound before they go to production.</li>
<li>Engineering Quality and Standards: Establish and enforce engineering practices: such as code review, branching strategy, CI/CD, testing, documentation, incident management.</li>
<li>Partner with SVP on Hiring and Onboarding.</li>
<li>Cross-Functional Coordination: Serve as the engineering interface to Insights Hub, Evidence Solutions, Product Solutions, and IT. Translate business requirements into technical scope. Manage dependencies with Corporate IT, Security, and external vendors. Escalate blockers early and clearly.</li>
<li>Platform Operations and Reliability: Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.</li>
</ul>
<p><b>Education and Experience:</b></p>
<ul>
<li>5/8+ years in data engineering, analytics engineering, or platform engineering roles</li>
<li>3+ years leading engineering teams (hiring, performance management, delivery accountability)</li>
<li>Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools</li>
<li>Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds</li>
<li>Experience operating in regulated or compliance-sensitive environments</li>
<li>Be able to review code, debug production issues and make sound architectural judgements.</li>
</ul>
<p><b>This hands-on leadership role is for you if:</b></p>
<ul>
<li>You've built and scaled engineering teams and enjoyed it</li>
<li>You're energized by the challenge of consolidating legacy systems into something better</li>
<li>You're comfortable with ambiguity and can make progress without perfect information</li>
<li>You care about engineering craft: clean code, good tests, clear documentation</li>
<li>You want to be close to the work</li>
<li>You can balance delivery pressure with sustainable team health</li>
<li>You're excited by the opportunity to shape a function, not just manage one</li>
</ul><p></p><div>
<p>Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.</p>
<p>
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.</p>
<p>
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.</p>
<p><b>
Recruitment Fraud Warning: </b>Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.</p></div></div>

Precision AQ

<div>
 Here at Precision AQ we are building a Data Hub, a centralized platform team, to be responsible for consolidating legacy data infrastructure, establishing enterprise data foundation and governance and enabling AI/ML capabilities across the organization. The Data Hub is moving from strategy to execution. We have a charter, a roadmap, executive sponsorship, and a clear mandate: consolidate fragmented data pipelines into a governed, scale able platform that serves multiple business units and product lines. We are now hiring an engineering leader who can build and run the team.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Stand up and scale a high-performing engineering team
  </li>
  <li>
   Own day-to-day engineering operations: sprint delivery, technical quality, capacity planning
  </li>
  <li>
   Drive technical excellence: architecture decisions, code quality, DevOps/GitOps practices, production reliability
  </li>
  <li>
   Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks
  </li>
  <li>
   Partner with the SVP on hiring, team development, vendor relationships and strategic planning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Engineering Team Leadership: Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow. You are accountable for the team&rsquo;s output, quality, and morale.
  </li>
  <li>
   Sprint Delivery and Capacity Management: Own the engineering delivery cadence. Run sprint planning, standups, and retrospectives. Manage capacity across concurrent workstreams (platform build, migrations, feature development). Ensure commitments are realistic and met.
  </li>
  <li>
   Technical Design and Architecture: Lead technical design reviews and architectural decisions. Ensure solutions are scalable, maintainable, and aligned with our medallion data architecture. You don&rsquo;t need to design everything yourself, but you need to ensure designs are sound before they go to production.
  </li>
  <li>
   Engineering Quality and Standards: Establish and enforce engineering practices: such as code review, branching strategy, CI/CD, testing, documentation, incident management.
  </li>
  <li>
   Partner with SVP on Hiring and Onboarding.
  </li>
  <li>
   Cross-Functional Coordination: Serve as the engineering interface to Insights Hub, Evidence Solutions, Product Solutions, and IT. Translate business requirements into technical scope. Manage dependencies with Corporate IT, Security, and external vendors. Escalate blockers early and clearly.
  </li>
  <li>
   Platform Operations and Reliability: Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5/8+ years in data engineering, analytics engineering, or platform engineering roles
  </li>
  <li>
   3+ years leading engineering teams (hiring, performance management, delivery accountability)
  </li>
  <li>
   Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools
  </li>
  <li>
   Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds
  </li>
  <li>
   Experience operating in regulated or compliance-sensitive environments
  </li>
  <li>
   Be able to review code, debug production issues and make sound architectural judgements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This Hands-on Leadership Role Is For You If
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You&rsquo;ve built and scaled engineering teams and enjoyed it
  </li>
  <li>
   You&rsquo;re energized by the challenge of consolidating legacy systems into something better
  </li>
  <li>
   You&rsquo;re comfortable with ambiguity and can make progress without perfect information
  </li>
  <li>
   You care about engineering craft: clean code, good tests, clear documentation
  </li>
  <li>
   You want to be close to the work
  </li>
  <li>
   You can balance delivery pressure with sustainable team health
  </li>
  <li>
   You&rsquo;re excited by the opportunity to shape a function, not just manage one
   <br/>
   <br/>
  </li>
 </ul>
 Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
 <br/>
 <br/>
 Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
 <br/>
 <br/>
 If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.
 <br/>
 <br/>
 <strong>
  Recruitment Fraud Warning:
 </strong>
 Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.
</div>


Adyen

<div><p><b>This is Adyen</b></p>
<p>
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&amp;M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.</p>
<p>
For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.</p>
<p><b>
Senior Product Manager - Developer Experience</b></p>
<p>
The Internal Developer Platform (IDP) cluster is on a mission to create standardized, scalable, and delightful experiences across the software development life cycle (SDLC) so Adyen engineers are empowered to deliver value more efficiently and reliably for our customers.</p>
<p>
As a Senior Product Manager within the IDP cluster, you will manage a key stream of our platform evolution. Your goal is to transition our engineering organization from fragmented, &quot;tribal knowledge&quot; based flows to a cohesive, automated ecosystem that reduces cognitive load, minimizes manual toil, and ensures our platform scales with our global engineering footprint. 2026 is our year of deep optimization and resilience; you are a product leader who understands that scaling a platform requires balancing innovation with mandatory reliability and stability mandates</p>
<p><b>
What you'll do:</b></p>
<ul>
<li><b>Optimize the SDLC: </b>Drive initiatives to reduce SDLC friction, such as reducing CI flakiness and improving build insights, to help teams shift from centralized, manual processes to systemic, automated &quot;golden paths&quot;.</li>
<li><b>Drive Product Maturity: </b>Take ownership of product lifecycle management by assessing the maturity of our toolset, executing on necessary deprecations, and ensuring our core products have clear adoption paths and value propositions.</li>
<li><b>Build Technical Context:</b> Partner with IDP engineering to bridge the gap between generic AI models and Adyen's complex architecture. You will prioritize the rollout of AGENTS.md standards, internal RAG pipelines, and Model Context Protocol (MCP) servers for tools like GitLab and Jira.</li>
<li><b>Foster Developer Autonomy: </b>Work across the organization to bridge the gap between infrastructure and developer needs, building &quot;LEGO-block&quot; style abstractions that allow teams to own their pipelines and release cycles while maintaining secure, compliant guardrails.</li>
<li><b>Validate ROI &amp; Manage Vendors:</b> Implement data-driven feedback loops to track adoption and measure SDLC improvements against core metrics like DXI, Change Failure Rate, and developer velocity</li>
</ul>
<p><b>Who you are:</b></p>
<ul>
<li>10+ years of product experience ideally within Platform Engineering, Developer Experience (DevEx), or AI-enabled technical products.</li>
<li>You are technically credible. You can confidently spar with engineers about system architecture, CI/CD pipeline constraints, and the balance between centralized governance and team autonomy.</li>
<li>You are a master of change management. You know how to influence developer habits and drive adoption in highly opinionated technical environments.</li>
<li>You are data-driven, capable of translating subjective developer feedback and system/usage data into clear impact metrics.</li>
<li>You thrive in ambiguity. You can execute quickly without waiting for perfect information and adapt quickly to new information</li>
</ul>
<p><b>Our Diversity, Equity and Inclusion commitments</b></p>
<p>
Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen.</p>
<p>
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!</p>
<p><b>
What's next?</b></p>
<p>
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don't be afraid to let us know if you need more flexibility.</p><br>
<p></p>
<p>
This role is based out of our [CITY NAME] office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.</p></div><p></p>

Senior Product Manager - Developer Experience

Databricks

<div><p>P-1448</p>
<h2 class="jobSectionHeader"><b>About the Role</b></h2>
<h3 class="jobSectionHeader"><b>Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.</b></h3>
<h3 class="jobSectionHeader"><b>The Impact You Will Have</b></h3>
<ul><li><p>Manage large strategic accounts to provide a high-touch support experience.</p>
</li><li><p>Deep-dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks.</p>
</li><li><p>Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg).</p>
</li><li><p>Project manage all open support cases to expedite support ticket closure.</p>
</li><li><p>Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution.</p>
</li><li><p>Directly engage on business-impacting situations and ensure recovery of functionality for the customer.</p>
</li><li><p>Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues.</p>
</li><li><p>Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems.</p>
</li><li><p>Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities.</p>
</li><li><p>Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders.</p>
</li><li><p>Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools.</p>
</li></ul><h3 class="jobSectionHeader"><b>What We Look For</b></h3>
<ul><li><p>Minimum 3 years of dedicated experience in Data Engineering, building, deploying, and maintaining large-scale data pipelines.</p>
</li><li><p>Minimum 3 years&rsquo; experience designing, developing, testing, and sustaining Python/Java/Scala-based applications required.</p>
</li><li><p>Deep, architectural knowledge of Apache Spark internals (including Drivers, Executors, Core Memory Management, DAGs, Catalyst Optimizer, and Tungsten execution engine).</p>
</li><li><p>Proven track record of troubleshooting complex Spark and big data issues, such as data skew, out-of-memory (OOM) errors, serialization issues, and slow-running broadcast joins.</p>
</li><li><p>Highly effective with project managing multiple tasks and work streams, driving them to conclusion.</p>
</li><li><p>Demonstrated analytical and problem-solving skills, particularly those that apply to a &ldquo;Distributed Big Data Computing&rdquo; environment.</p>
</li><li><p>Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders</p>
</li><li>Preference for customer-facing experience as a Support Engineer, Technical Account Manager, DSE, or in related production support areas</li>
</ul><div><p><b>About Databricks</b></p>
<p>Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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<b>Benefits
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At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
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</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

Sr. Designated Support Engineer, Apache Spark™

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Sr. Designated Support Engineer, Apache Spark™