At a Glance
- Tasks: Lead customer technical projects and provide expert guidance on data solutions.
- Company: Join a forward-thinking tech company focused on data observability and customer success.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a focus on building lasting customer relationships.
- Why this job: Make a real impact by helping enterprises optimise their data strategies.
- Qualifications: 12+ years in data management, strong consultative skills, and cloud platform experience.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- 12+ years of experience as a Solution Architect in enterprise data management or data platforms and distributed systems (Data & Control plane architectures)
- Experience in a global SI or consulting firm, managing multiple customer engagements in a consultative role, is highly desired
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
- Deep understanding of data pipelines and metadata management, data observability, lineage, and governance
- Familiarity with data quality, data catalog, and governance tools like Informatica, Collibra, Alation, Atlan, etc.
- Experience working across AWS, Azure, or GCP environments
- Experience with modern cloud data platforms such as Databricks and Snowflake
- Hands-on experience with Apache Spark, Kafka, and other open source big data platform technologies
- Kubernetes and containerized workloads
- Strong consultative mindset with enterprise customers, with the ability to translate business outcomes into technical architectures
- Executive-level communication and stakeholder management skills
- Proven ability to manage multiple complex customers simultaneously
- Comfortable influencing Product and Engineering through structured inputs
What the job involves
- Our Technical Account Managers are customer-facing technical advisors and architects who own long-term customer success and value realization for Acceldata’s strategic enterprise accounts.
- Our TAMs act as trusted technical advisors and architects, partnering closely with Strategic Account Managers, Product, and Engineering teams to translate customer business priorities into multi-quarter technical success plans, align product capabilities with customer needs, and enable predictable account expansion.
- This is a high-impact, consultative role focused on outcomes for both the customer and Acceldata.
- Lead high-impact customer technical projects, including reference architectures, how-to guides, demo applications, and production-grade MVPs.
- Provide technical leadership and consultation to support customers post-sale, guiding architecture, design, implementation, and adoption of Acceldata solutions.
- Assist customers with transformational data projects, including migrations, installations, and deployments in complex environments.
- Help overcome technical challenges across Kubernetes, cloud platforms, and data workflows, optimizing customer deployments.
- Collaborate with internal Engineering, Product, Project Management, and Support teams to ensure successful delivery, issue resolution, and customer satisfaction.
- Architect end-to-end solutions with a focus on scalability, performance, security, and cloud-native best practices.
- Travel to customer sites as needed to deliver deep technical engagement and business impact.
- Provide feedback to Product and Engineering on product gaps, areas for improvement, and feature requests that support long-term customer success.
- Act as a trusted technical advocate for a defined set of accounts, partnering closely with Sales & Products.
- Author and manage Joint Success Plans / Success Contracts (for next 3–4 quarters).
- Build strong relationships with customer technical stakeholders to ensure adoption, value realization, and satisfaction.
- Monitor technical health, usage adoption, and deployment success; proactively intervene and mitigate risks.
- Participate in business and technical reviews, roadmap discussions, and strategic planning to align product value with customer objectives.
- Translate technical achievements into business impact, providing actionable insights and metrics for customer leadership.
Technical Account Manager (Acceldata Data Observability Cloud) in London employer: Deepstreamtech
Acceldata is an exceptional employer that prioritises employee growth and development, offering a dynamic work culture where innovation thrives. As a Technical Account Manager, you will engage with cutting-edge data observability solutions in a collaborative environment, supported by a team that values your expertise and fosters meaningful relationships with clients. With opportunities for professional advancement and the chance to influence product direction, working at Acceldata not only enhances your career but also contributes to transformative projects in the data management landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Account Manager (Acceldata Data Observability Cloud) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to data management and cloud platforms. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines, Kubernetes, or cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your consultative skills. Be ready to discuss how you've translated business needs into technical solutions in past roles. Practice articulating your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with data observability and customer engagement—it’ll make a difference!
We think you need these skills to ace Technical Account Manager (Acceldata Data Observability Cloud) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with data management, cloud platforms, and any relevant tools like Apache Spark or Kubernetes. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your consultative mindset can benefit our customers. Don’t forget to mention specific projects or achievements that showcase your skills.
Showcase Your Technical Skills:In your application, be sure to highlight your hands-on experience with technologies mentioned in the job description. Whether it's data pipelines or cloud environments, we want to know how you've tackled challenges in these areas.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining the StudySmarter team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Apache Spark, Kafka, and cloud platforms such as AWS, Azure, or GCP. Brush up on your knowledge of data pipelines, metadata management, and governance tools like Informatica and Collibra, as these will likely come up during the interview.
✨Showcase Your Consultative Skills
Prepare to discuss your experience in a consultative role, especially how you've managed multiple customer engagements. Think of specific examples where you translated business needs into technical solutions, as this is crucial for a Technical Account Manager.
✨Communicate Like a Pro
Since executive-level communication is key, practice articulating complex technical concepts in simple terms. You might be asked to explain how you would approach a customer's technical challenge, so being clear and concise will help you stand out.
✨Demonstrate Your Problem-Solving Mindset
Be ready to tackle hypothetical scenarios related to overcoming technical challenges in cloud environments or Kubernetes. Show them your thought process and how you would guide customers through their transformational data projects, highlighting your ability to think on your feet.
