Solutions Architect

• 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.

• Minimum 5 years of experience in Data & Analytics, Data Engineering, Solution Architecture, or related consulting roles.
• Proven experience designing and delivering enterprise-scale data platform solutions.
• Hands-on expertise across at least two Data & Analytics platforms, including Databricks.
• Databricks Professional Certification.
• Strong experience designing modern cloud data platforms and analytics ecosystems.
• Excellent understanding of data architecture, data integration, data modeling, and governance principles.
• Experience designing lakehouse architectures and scalable data processing solutions.
• Strong proficiency in SQL and Python.
• Experience working with Databricks, Delta Lake, and related technologies.
• Knowledge of data transformation frameworks such as dbt or similar ELT tools.
• Experience with at least one major cloud platform (Microsoft Azure, AWS, or Google Cloud Platform).
• Strong client-facing skills with the ability to lead technical discussions and communicate effectively with stakeholders.
• Proven ability to present complex technical concepts to both technical and non-technical audiences.
• Excellent communication skills in English.
• Strong analytical, problem-solving, and consulting capabilities.

• Databricks Architect Champion designation.
• Cloud Architect certification (Azure, AWS, or GCP).
• Experience with Snowflake, Microsoft Fabric, BigQuery, or other modern analytics platforms.
• Experience with data governance, metadata management, and data quality frameworks.
• Knowledge of data mesh and modern data architecture methodologies.
• GenAI, Machine Learning, or AI solution design experience.
• Presales experience including proposal writing, solution estimation, and offer development.
• Experience working in Agile delivery environments.
• Adaptable, proactive, and solution-oriented mindset.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

• Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• 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.
• 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.
• 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.
• Great Place to Work Certified Employer.

Originally posted on Himalayas