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Solution Architect- Data & Analytics

Summary

Designs cloud-based data platforms and AI solutions, advising clients on architecture while splitting time between hands-on delivery and presales. Core tech includes Databricks, Snowflake, and cloud providers.

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

About the role:

We're looking for a Solution Architect to design modern data platforms and act as a trusted technical advisor to our clients. The role is split evenly between hands-on delivery on client projects and presales work — shaping solutions, scoping offers, and helping win new business in the Data, Analytics, and AI space.

Tasks:

  • Design end-to-end Data & Analytics architectures aligned with client business objectives and technology strategies.
  • Lead solution discovery workshops and architecture sessions with client stakeholders.
  • Translate business requirements into scalable, secure, and high-performing technical solutions.
  • Architect modern cloud-based data platforms, analytical ecosystems, and AI-enabled solutions.
  • Define architecture blueprints covering data ingestion, transformation, storage, governance, security, analytics, and reporting.
  • Act as a trusted technical advisor to clients by providing guidance on best practices, emerging technologies, and architecture decisions.
  • Collaborate with Data Engineers, Analytics Engineers, Data Scientists, Consultants, and business stakeholders throughout the project lifecycle.
  • Provide technical leadership and direction to delivery teams during implementation.
  • Support project delivery by resolving complex technical challenges and ensuring architectural consistency.
  • Establish and promote standards, best practices, reusable assets, and reference architectures.
  • Design and recommend modern architecture patterns including lakehouse, data mesh, and cloud-native approaches.
  • Participate in presales engagements, including solution scoping, effort estimation, and technical proposal creation.
  • Support RFI and RFP responses with architecture design, technical recommendations, and delivery approaches.
  • Present proposed solutions to technical and business audiences ranging from project teams to executive stakeholders.
  • Contribute to capability development, mentoring initiatives, knowledge-sharing activities, and Competency Center growth.

What We're Looking For:

  • 5+ years of experience in Data & Analytics
  • Hands-on expertise across at least 2 Data & Analytics platforms, one of which must be Databricks
  • Databricks Professional certification
  • Proven data platform design and architecture skills
  • Strong client-facing skills — able to lead technical conversations, present solutions, and build trust with stakeholders
  • Nice to have

    • Databricks Architect Champion
    • Cloud architect certification (Azure, AWS, or GCP)
    • Experience with additional platforms such as Snowflake, Microsoft Fabric, or BigQuery
    • Lakehouse, data mesh, and data governance experience
    • GenAI / ML solution design experience
    • Strong SQL and Python skills; familiarity with dbt or similar ELT tooling
    • Presales experience — responding to RFPs/RFIs and writing technical proposals

What to expect:

  • 50% — client delivery on Data & Analytics and AI projects
  • 50% — presales: solution design, scoping, and preparing offers/proposal.

What will set you apart:

  • Strategic thinker with hands-on execution capability.
    • Agile, resilient, and able to thrive in a fast-paced, matrixed environment.
      • Passion for technology, innovation, and driving measurable business outcomes.

What we offer:

  • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
  • “Office as an option” model. You can choose to work remotely or in the office, depending on your location.
  • Flexibility regarding working hours and your preferred form of contract.
  • Comprehensive online onboarding program with a “Buddy” from day 1.
  • Cooperation with top-tier engineers and experts.
  • Unlimited access to the Udemy learning platform from day 1.
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
  • Internal Gallup Certified Strengths Coach to support your growth.
  • Grow as we grow as a company. 76% of our managers are internal promotions.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work. We trust your ideas.
  • Create our community together. Refer your friends to receive bonuses.
  • Activities to support your well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.
  • Modern office equipment. Purchased for you or available to borrow, depending on your location.

What this application asks

lever

Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Other website, What is your age range?, What gender do you identify as?

  • How would you describe your English skills? choose one · optional
  • What is your education? choose one · optional
  • Mention your current company? written answer
  • Mention your previous company? written answer
  • What is your full-time experience? written answer
  • What is your relevant experience? written answer · optional
  • What is your current annual compensation in INR? written answer
  • What are your salary expectations? (ONLY NUMBERS)
  • Choose your currency: choose one · optional
  • Choose your salary period choose one · optional
  • Gross or net? choose one · optional
  • When can you start working with us?
  • Is there a possibility to shorten a notice period? (If yes, please specify how fast can you join us) written answer
  • How did you find about Lingaro?* choose one · optional

See also

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