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Data Solution Architect

  • San Diego, California, United States

We need your expertise


We believe in merging technology and data to drive our customers one step beyond. Itility digital consultants are experts in data, cloud, software and IT infrastructure. Acting as the ‘digital twin’ of customers, we work shoulder-to-shoulder to exceed business goals and push the boundaries of what you thought was possible. We combine an agile way of working with proven methods and building blocks. This enables teams to act quickly and shape, deliver, and run innovative digital solutions. With a continuous focus on implementing your strategy and generating results.


As a data solution architect, you can dissect a customer’s real business question and translate that into a tangible cloud data solution. You will work closely with our Managing Consultants and act at a C-level / director level with our customers.


  • Identify digital trends (data and cloud) in the market and their potential business value.
  • Collaborate with customers and their architects to understand their technical data requirements and provide recommendations for optimal solutions.
  • Dissect the real customer challenge into understandable words.
  • Develop and implement technical solutions that align with client problems and goals.
  • Provide technical leadership and guidance throughout the project lifecycle, from initial planning to implementation and support.
  • Examine existing projects bottom up, identify improvements, and automate manual processes, without losing sight of the bigger picture.
  • Lead by example: inspire our team of technical professionals, including data engineers, data platform engineers, cloud engineers, software engineers and architects.
  • Ensure that projects are delivered on time, within budget, and meet quality standards.
  • Foster a culture of collaboration, knowledge sharing, and continuous learning within the technical team.


  • Master’s degree in computer science, AI, electrical engineering or related studies.
  • Experience with consultancy (at an enterprise or within another consultancy company.)
  • Extensive (hands-on) knowledge of data platforms and data processing, using Amazon Web Services (AWS), Microsoft Azure, Google Cloud and related concepts.
  • 5+ years of hands-on experience building data cloud lakes, data-intensive applications, data pipelines, CI/CD and data engineering.
  • Experience in digital solutions and data science/AI.
  • 3+ years of experience in activities such as pre-sales, post-sales, solution architecting and shaping solutions.
  • Excellent communication skills, ability to explain complex technological concepts and solutions effectively (simply and clearly) to both management and operational levels.

This is what we offer


  • 100% employer paid medical, dental and vision insurance
  • 401k with up to 4% employer match
  • Paid vacation and sick time
  • Paid company holidays
  • HAS Accounts
  • Flexible Spending Accounts
  • Life Insurance
  • Professional Training and Development Programs

Most of our positions are hybrid. Unless otherwise indicated in the job post, it is a requirement that you are based within the job's stated location. This is a full time, permanent W2 position located in San Diego, California. Candidates must be located in San Diego as this is a hybrid position that does require an onsite presence for certain days of the week. We'll only be able to respond to applicants who meet the basic qualifications for this role. Itility offers a strong benefits package for full time employees. In addition to base salary, employees receive 100% employer paid medical, dental, and vision insurance. A 401K is available with an up to 4% employer match. The company offers paid vacation, paid sick time, and paid company holidays. Flexible spending accounts and health savings accounts are available, as well as life insurance options.

Itility provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics