Tech Lead – Senior Architect, Data Engineering

Virtusa

. Lead the end-to-end architecture, design, and implementation of scalable, high-performance data platforms built on Snowflake .

Posted 10/27/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data platforms using Snowflake, with a strong focus on data governance, architecture standards, and compliance with regulations such as GDPR. Proficient in ETL/ELT processes, CI/CD methodologies, and stakeholder collaboration to drive data strategy and architecture decisions.

Highest-signal resume keywords

Snowflake Data WarehousingETL/ELT Development with DBTSQL Query OptimizationCI/CD Pipelines (Git, Jenkins, Azure DevOps)Data Governance and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureDimensional ModelingPerformance TuningData LineageMetadata ManagementAutomated Data QualityData Visualization (Tableau, Power BI)Cloud Platforms (AWS)Data Lake/Lakehouse ArchitecturesOrchestration Tools (Apache Airflow)

Soft Skills

Stakeholder ManagementCommunication SkillsMentorshipCollaborationInfluencing Enterprise Data Strategy

Tools & Technologies

DBTSnowflakeGitJenkinsGitHub ActionsAzure DevOpsApache AirflowTableauPower BI

Industry Keywords

PharmaceuticalHealthcareGDPR ComplianceDataOpsAgile/Scrum

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLJenkinsSnowflakeSQLTableau

About the role

Key responsibilities & impact

Lead the end-to-end architecture, design, and implementation of scalable, high-performance data platforms built on Snowflake
Define, establish, and enforce enterprise data architecture standards, including dimensional/data modeling, naming conventions, design patterns, and engineering best practices
Design and implement robust, maintainable ETL/ELT pipelines leveraging dbt alongside modern cloud-native technologies
Collaborate with distributed cross-functional stakeholders—including business leaders, data scientists, clinical domain experts, and IT teams—to translate complex business requirements into technical architectures
Implement data governance, data lineage, metadata management, cataloging, and automated data quality frameworks
Ensure data platforms comply with European data protection regulations (e.g., GDPR) and pharma-specific compliance, validation, and security guidelines
Implement DataOps methodologies and CI/CD pipelines for automated testing, deployment, workflow orchestration, and platform monitoring
Oversee Snowflake performance tuning, query optimization, clustering strategies, storage tiering, and cloud cost management (FinOps)
Provide architectural guidance, code reviews, and hands-on mentorship to engineering teams
Evaluate emerging technologies, data frameworks, and modern tools to evolve the data platform landscape
Partner with Cloud Infrastructure, SecOps, and DevOps teams to ensure high availability, resilience, and security standards

Requirements

What you’ll need

Strong hands-on expertise in Snowflake (data warehousing, performance tuning, security, cost optimization)
Deep understanding of data warehousing concepts (dimensional modeling, star/snowflake schemas)
Advanced proficiency in SQL and complex query optimization
Extensive experience in ETL/ELT development, especially with DBT
Experience in data architecture and distributed data systems design
Strong exposure to CI/CD pipelines (Git, Jenkins, GitHub Actions, Azure DevOps)
Experience working with cloud platforms (AWS)
Experience with orchestration tools like Apache Airflow or similar
Exposure to data lake / lakehouse architectures
Experience with data visualization tools (Tableau, Power BI)
Prior experience in pharmaceutical / healthcare domain (clinical, R&D, or commercial data)
Strong stakeholder management and communication skills across business and technical teams
Ability to drive architecture decisions and influence enterprise data strategy
Experience working in Agile/Scrum environments