--- title: 'Solution Architect- Data & Analytics at Lingaro' canonical: 'https://feeny.ai/job/solution-architect-data-analytics-lingaro-india-srqbnpr90wx1' type: 'job' last_seen: '2026-10-18' --- # Solution Architect- Data & Analytics at Lingaro - **Company:** Lingaro - **Location:** India - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-14 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.lever.co/lingarogroup/ed379b25-6755-4d85-8462-a407ad868663 ## Job description 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: - What We're Looking For: - 8-12 years of experience in Data & Analytics. - 5+ years’ experience in databricks. - 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. ## About Lingaro ## Company Overview - **One-liner**: Global end-to-end data and AI partner to leading brands and enterprises, turning complex data into actionable insights and AI-driven automation. - **Entity Type**: Privately Held (no public funding disclosures; bootstrapped growth assumed) - **Headquarters**: Warsaw, Poland - **Founded**: 2008 - **Founders**: Not publicly available ## Core Business - **Primary industries**: IT Services and IT Consulting; Data & Analytics; AI Services - **Target customers**: B2B, primarily large enterprises and global brands, including highly regulated industries (retail, CPG, supply chain, manufacturing) - **Mission**: Help clients achieve more with data and AI by creating data-driven and AI-augmented experiences that deliver human impact and measurable business outcomes. ## Products & Services - **Marketing & Commercial Analytics**: Marketing/media effectiveness, sales & channel execution, Revenue Growth Management (RGM), omnichannel commerce & content automation. - **Intelligent & Resilient Supply Chain**: Demand planning, sensing & forecasting, manufacturing intelligence, inventory optimization, warehouse automation, logistics analytics. - **Sustainability & Compliance**: Sustainable product intelligence & LCA, decarbonization & net zero pathway, compliance-grade reporting & risk management. - **AI & GenAI**: Custom AI models, machine learning solutions, automation including GAIA (AI sales & customer support assistant). - **Data Consulting**: Strategy development, governance frameworks, architecture design. - **Technology Consulting & Advisory**: Digital transformation guidance, technology roadmaps. - **Data Visualization**: Dashboards and reporting. - **Learning Technology & Adoption**: Training programs, user adoption strategies (5x faster adoption with 7 accelerators). - **Intelligent Operations & Support**: Managed services, 24/7 support, optimization. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Over 1,800 employees worldwide (homepage) / 1,092 according to LinkedIn (+3% YoY) - **Notable Investors/Partners**: Partnerships with leading hyperscalers (not named); no external investors publicly listed. - **Growth Signals**: - Recognized as a **Leader in ISG Provider Lens 2025** (Advanced Analytics and AI Services across Europe and the US). - **Fortune 100 Best Companies to Work For in Europe™** (2024). - **Great Place to Work®-certified** in Poland, Philippines, and India (2025). - **Best Workplaces™ in Asia** (2024). - Supports **75+ leading brands across 30+ countries**. - Workforce distributed across 25 countries; operations in 6 countries (Poland, US, Philippines, Singapore, Mexico, Switzerland). - Open positions visible on careers page (e.g., Data Engineer, AI DevOps, Supply Chain roles). ## Competitive Advantages - **End-to-end data & AI services** – from strategy/advisory to implementation, adoption, and managed support. - **Deep industry expertise** – especially in highly regulated sectors (retail, CPG, supply chain, sustainability). - **AI adoption framework** – 5x faster adoption via proprietary accelerators and change management. - **Human-centric approach** – combines design thinking, AI, and human creativity to build user-centric solutions. - **Global delivery model** – 24/7 support across time zones with strong European roots and global scale. - **Awards & recognition** – multiple Great Place to Work seals and ISG Leader status validates both workplace culture and service quality. ## Strategic Focus - **Data and AI readiness** – helping organizations become “data-ready, AI-ready, and future-ready.” - **Growth in AI & GenAI** – expanding custom model development and automation solutions like GAIA. - **Supply chain resilience** – intelligent supply chain offerings as a key growth vertical. - **Sustainability services** – compliance-grade reporting and decarbonization pathways for clients. - **Geographic expansion** – continues to scale presence in the US, APAC, and Europe. ## Why Work Here - **Culture**: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024. - **Work environment**: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”). - **Growth & learning**: Strong focus on learning technology and adoption – internal training programs and career development. - **Global team**: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients. - **Engineering culture**: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks. - **Employee rating**: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7. ## Sources 1. [Lingaro Group About Page](https://lingarogroup.com/about) 2. [Lingaro LinkedIn Company Page](https://www.linkedin.com/company/lingaro) 3. [Lingaro Careers Page (Lever)](https://jobs.lever.co/lingarogroup) 4. [Lingaro Group Home Page](https://lingarogroup.com/home) 5. 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