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Senior Data Architect
Solo NetworkSenior Data Architect role at Solo Network focusing on data architecture for major clients. Leading projects and collaborating with engineering, BI, and Data Science teams to deliver effective data solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing modern data architectures and implementing data engineering practices, with a strong focus on data modeling, governance, and scalable pipeline construction. Proven ability to lead technical teams and engage with stakeholders to deliver sustainable data solutions.
Highest-signal resume keywords
Data ArchitectureData EngineeringData ModelingAzure Data FactoryMicrosoft Data Certifications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IngestionData TransformationData OrchestrationPipeline DeploymentData GovernanceData LineageData CatalogingCI/CD PracticesDataOpsCloud Environments
Soft Skills
Strong Communication SkillsProduct-Oriented MindsetTechnical Leadership
Tools & Technologies
Azure Synapse AnalyticsAzure Data LakeAzure SQLSQL ServerPower BIPurviewFabric
Certifications & Qualifications
DP-203DP-500DP-600DP-700
Industry Keywords
LGPDMLOpsIntelligent AutomationMulti-Cloud Environments
Tech Stack
Tools & technologiesAzureSQL
About the role
Key responsibilities & impact- Lead the design of modern data architectures (Lakehouse, Data Mesh, Medallion, etc.) for analytical and operational environments
- Collaborate with engineering, BI, Data Science, and Generative AI teams to ensure technical cohesion and alignment with business objectives
- Define standards for data modeling, ingestion, processing, and governance
- Support the construction of scalable pipelines using DataOps and CI/CD practices
- Make technical decisions based on hands-on data engineering experience
- Conduct technical reviews and advise on tool selection and best practices
- Engage with business stakeholders and clients' executive teams to recommend fit-for-purpose and sustainable solutions.
Requirements
What you’ll need- Proven experience in data architecture on high-complexity projects
- Strong foundation in data engineering, with hands-on experience in ingestion, transformation, orchestration, and deployment of pipelines
- Proficiency in data modeling (relational, dimensional, and event-driven)
- Experience with cloud environments, preferably Azure
- Solid knowledge of Microsoft ecosystem tools:
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake
- Azure SQL / SQL Server
- Power BI
- Purview, Fabric (desirable)
- Knowledge of data governance practices, LGPD (Brazil's General Data Protection Law), lineage, and cataloging
- Ability to provide technical leadership to multidisciplinary squads
- Strong communication skills and a product-oriented mindset
- Microsoft data certifications (DP-203, DP-500, DP-600, DP-700, etc.) (desirable)
- Experience with AI projects, MLOps, and intelligent automation (desirable)
- Experience with multi-cloud environments (desirable)
Benefits
Comp & perks- High-impact projects with major national clients
- Collaborative environment with technical autonomy and ownership
- Opportunity to help shape offerings and evolve Solo's Data practice
- Access to training, certifications, and Microsoft programs
- Participation in technical communities and innovation events