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Resident Solutions Architect

Remote: 
Full Remote
Contract: 
Experience: 
Expert & Leadership (>10 years)
Work from: 

Offer summary

Qualifications:

10+ years of customer-facing experience, Bachelor's degree required, Expertise in Kubernetes and cloud platforms, Strong background in big data technologies, Proficient in Python or Java.

Key responsabilities:

  • Lead customer technical projects and MVPs
  • Provide technical leadership for implementation
  • Guide clients through transformational data projects
  • Collaborate with teams to resolve issues
  • Deliver significant business impact at customer sites
Acceldata logo
Acceldata Scaleup https://www.acceldata.io/
51 - 200 Employees
See more Acceldata offers

Job description

About Us 

Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.  

Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.

Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

We are seeking a technical Resident Solution Architect to lead impactful customer technical projects and guide clients through the implementation of cutting-edge data solutions. In this role, you will leverage your expertise in cloud-native technologies, Kubernetes, and big data systems to design and deliver production-grade MVPs, reference architectures, and demo applications for our customers. You will provide hands-on leadership, working closely with both clients and internal teams to ensure successful deployment, post-sales support, and long-term adoption of Acceldata solutions. Your ability to troubleshoot complex deployments, optimize performance, and resolve product issues will be critical to driving customer success.

We’re looking for someone who can:
  • Lead impactful customer technical projects, including building reference architectures, how-to guides, demo applications, and delivering production-grade MVPs
  • Provide technical leadership and consultation to support customers in post-sales, guiding them through architecture, design, and implementation of Acceldata solutions to ensure successful understanding, evaluation, and adoption
  • Guide customers through the implementation of transformational data projects, including third-party migrations, installation, and deployment of Acceldata solutions across various environments
  • Collaborate with internal technical teams, Project Managers, Architects, and customers to ensure successful delivery of technical components and resolution of product and support issues
  • Provide feedback to product management and engineering on product gaps and implementation improvements to drive long-term customer success
  • Travel to customer sites, working closely with client technology teams to deliver significant business impact

  • What makes you the right fit for this position?
  • 10+ years of related experience in customer-facing pre-sales, post-sales, technical architecture, or consulting roles, with a focus on Cloud Native and Data Lakes. Bachelor’s degree required.
  • Proven experience as a Solution Architect or similar role, with a strong understanding of designing and implementing Kubernetes-based solutions, including troubleshooting and optimizing performance, security, and deployments.
  • Expertise with cloud platforms (AWS, Azure, Google Cloud) and their Kubernetes offerings, as well as containerization technologies such as Docker and Kubernetes.
  • Strong background in big data technologies such as Hive, Kafka, Airflow, Databricks, and Snowflake.
  • Proficient in Python or Java, with experience in coding, documenting solutions, and using white-boarding techniques.
  • Relevant certifications (e.g., Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD)) are a plus.
  • Strong Data Engineering and Data Quality expertise, including Spark.
  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
  • Experience working directly with clients, including conflict resolution and managing expectations.

  • Acceldata is an equal-opportunity employer

    At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

    Life @ Acceldata

    #LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an ‘out-of-the-box’ mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be! 

    We also believe in providing our employees with the right tools and resources to help them excel at their job. We offer:

    - Flexible PTO Plan
    - Up to 100% employer-paid benefits for health, dental, and vision coverage for specific plans
    - Discounts and offerings through major vendors through our PEO
    - Apple Air Mac Equipment
    - Becoming part of the team who’s coined the term “Data Observability”!

    Required profile

    Experience

    Level of experience: Expert & Leadership (>10 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Verbal Communication Skills

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