Lingaro

Turns data into AI-driven business insights

Solution Architect

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours

Full-timeRemote in PhilippinesNo salary listed

About the Job

Requirements

At least 5 years of experience in Data and 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 and Analytics platforms, including Databricks.
Databricks Professional Certification.
Strong experience designing modern cloud data platforms and analytics ecosystems.
Strong 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.
Client-facing skills to lead technical discussions and communicate effectively with stakeholders.
Ability to present complex technical concepts to technical and non-technical audiences.
Excellent communication skills in English.
Strong analytical, problem-solving, and consulting capabilities.

Responsibilities

Design end-to-end Data and 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.
Advise clients 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.
Resolve complex technical challenges and ensure architectural consistency in project delivery.
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.
Support presales engagements through 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, from project teams to executive stakeholders.
Contribute to capability development, mentoring initiatives, knowledge-sharing activities, and Competency Center growth.

Desired Qualifications

Databricks Architect Champion designation.
Cloud Architect certification in 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.

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.

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

The Solution Architect combines deep technical expertise with strong consulting and stakeholder management skills to deliver scalable, innovative, and business-focused solutions.

What You'll Be Doing:

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:

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.

What Will Set You Apart:

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.

We offer:

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.

About the Company

Lingaro

Turns data into AI-driven business insights

Lingaro helps large organizations turn data into business value. It provides end-to-end data and AI services, from strategy and advisory to building scalable data platforms and AI solutions. Its team turns complex data into actionable insights, advanced analytics, and AI-driven automation, enabling faster decisions and greater efficiency. Lingaro distinguishes itself with global reach rooted in Europe, strong engineering expertise, agility, and deep industry knowledge, serving 75+ brands in 30+ countries, including highly regulated sectors. As a long-term transformation partner, the company aims to make organizations data-ready, AI-ready, and future-ready, delivering measurable business impact across teams and processes.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Warsaw, Poland
Founded: 2008

Recently Posted Jobs

Explore more opportunities at Lingaro

See more jobs