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Solutions Architect

RemotePhilippines only
Published
Role
Data Engineering
Experience
Senior
Employment
Full-time
Company size
Enterprise
Salary not disclosed
Check eligibility

Open to PH only. Set where you work from to check your eligibility.

No BS summary

Solution Architect with 5+ years in Data & Analytics/Data Engineering/Solution Architecture consulting. Must design enterprise cloud data platforms, know Databricks, SQL, Python, Delta Lake, and at least one of Azure/AWS/GCP. Philippines role with strong English and client-facing/presales skills.

Core skills

DatabricksSQLPython

Required skills

Delta LakedbtELT toolsMicrosoft Azure/AWS/GCP

Optional skills

SnowflakeMicrosoft FabricBigQueryDatabricks Architect ChampionAzureGCPGenAIMachine Learning

Required languages

English Excellent communication skills in English.

What you'll do

  • 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 they require

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

Benefits

  • 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.
Data Analytics
Salary not disclosed