Tech Lead – Senior Architect, Data Engineering

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Virtusa

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

💰 $108M Post-IPO Equity - Virtusa on 2017-05

Consulting • Enterprise • Artificial Intelligence

Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.

📋 Description

• 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

• 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