Solution Architect

Lovelytics

. Formulate forward-looking data strategies aligned with client business objectives and industry best practices .

Posted 11/6/2026full-timeRemote • United States, CanadaMid-LevelSenior💰 $155,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing large-scale data architectures, including data lakehouses and warehouses, utilizing Databricks and cloud technologies. Strong client-facing communication skills and the ability to mentor teams while ensuring compliance and data quality.

Highest-signal resume keywords

Data Analytics And ArchitectureDatabricks And Spark ExpertiseCloud Deployments In AWS, Azure, Or GCPClient-Facing Communication SkillsETL Pipelines And Data Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Lakehouse DesignData Warehouse ImplementationBatch And Streaming IngestionReal-Time ProcessingELT/ETL PatternsData Quality AssuranceInfrastructure ConfigurationTechnical Blueprint CreationEmerging Technologies IntegrationCost Optimization Strategies

Soft Skills

Mentoring EngineersInfluencing StakeholdersTechnical Discovery LeadershipCollaboration With Sales TeamsCommunication Skills

Tools & Technologies

DatabricksSparkGoogle WorkspaceMacOSSlackAtlassian

Industry Keywords

Data StrategiesComplianceSecurity PoliciesAccess ControlsCloud-Native Technologies

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformMacOSSpark

About the role

Key responsibilities & impact

Formulate forward-looking data strategies aligned with client business objectives and industry best practices
Design and oversee large-scale AI, lakehouse, and warehouse implementations on Databricks and other cloud-native technologies
Create solutions integrating on-premises and multiple cloud environments
Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns
Ensure security, privacy, compliance, and data quality at scale
Tackle complex data engineering challenges and make strategic decisions to de-risk delivery
Introduce emerging technologies and methodologies
Drive performance, cost optimization, scalability, and maintainability
Mentor engineers, review architectures and code, and guide implementation teams
Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept
Create technical blueprints and recommend tools, frameworks, and design patterns
Partner with sales and account teams to scope engagements and shape technical proposals

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
5+ years of experience in data analytics and architecture, including large-scale cloud deployments
4+ years in a client facing role, preferably in a professional services firm
Proven track record designing and implementing modern data lakehouses, warehouses, and pipelines in AWS, Azure, or GCP
Experience with data models, ETL pipelines, integration specifications, security policies, access controls, and infrastructure configuration
Expert knowledge of Databricks and Spark (required)
Experience creating proofs of concept, technical presales presentations, and pricing for engagements
Strong client-facing communication skills with the ability to influence technical and executive stakeholders
Experience with Google Workspace, MacOS, Slack, and Atlassian
Must be able to work without sponsorship