Data & Analytics Solutions Architect

Lingaro; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Office as an option

Udemy learning platform

Training programs

Job summary

Lingaro is seeking a Solution Architect to design modern data platforms and act as a trusted technical advisor to 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.

You will design end-to-end architectures, lead workshops, translate business needs into scalable cloud-based solutions, and provide technical leadership while collaborating with Data

Qualifications

• 5+ years of experience in Data & Analytics.
• Hands-on experience across at least 2 Data & Analytics platforms, Databricks required.
• Databricks Professional certification requested.
• Proven data platform design and architecture skills.
• Strong client-facing skills to lead technical conversations.

Responsibilities

• Design end-to-end Data & Analytics architectures aligned with client objectives.
• Lead solution discovery workshops and architecture sessions with stakeholders.
• Translate business requirements into scalable, secure, high-performing solutions.
• Architect cloud-based data platforms, analytical ecosystems, and AI-enabled solutions.
• Define architecture blueprints for ingestion, storage, governance, security, analytics, and reporting.
• Provide technical leadership to delivery teams during implementation.
• Support presales with solution design, scoping, and proposals.
• Promote standards, reusable assets, and reference architectures.
• Mentor capability development and knowledge sharing within the team.

Skills

Data & Analytics

Databricks

Client-facing

Solution architecture

Databricks Professional certification

Tools

Databricks

Snowflake

Microsoft Fabric

BigQuery

Job description

Lingaro is seeking a Solution Architect to design modern data platforms and act as a trusted technical advisor to 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.

You will design end-to-end architectures, lead workshops, translate business needs into scalable cloud-based solutions, and provide technical leadership while collaborating with Data