What are the responsibilities and job description for the Principal Data Architect position at Qualys?
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Key Responsibilities
Qualys is an Equal Opportunity Employer, please see our EEO policy.
Key Responsibilities
- Architecture:
- Design and lead the development of a scalable, reliable, compliant and secure data architecture that spans enterprise applications, analytics, reporting needs and guarantees real-time delivery of accurate data
- Define standards and best practices for data modeling, governance, integrations and managing data lifecycle
- Develop conceptual, logical, and physical data models to ensure alignment with business requirements
- Define reusable data integration patterns, data flows, and pipelines across systems, applications, and platforms
- Strategy and Leadership:
- Partner with enterprise applications delivery teams and enterprise architecture to ensure our solutions keep data consistent, accurate, and secure
- Collaborate on the implementation of cloud data platforms (e.g., Snowflake, Redshift, Databricks, Azure Synapse, Big Query) and support the enterprise wide roll out
- Governance:
- Monitor and optimize database performance, scalability, and storage strategies.
- Work with security operations org to ensure compliance with data privacy, security, and regulatory requirements (e.g., GDPR, SOC 2, PCI).
- Establish governance frameworks ensuring data quality, privacy, lineage, and compliance across all sources.
- Implement robust data security practices, including RBAC, encryption, and access auditing
- AI and emerging tech:
- Infuse AI into the data landscape by setting direction and giving guidance on the development of ML models and other AI based capabilities
- Enable data democratization and advanced insights through curated datasets, semantic layers, and analytical products
- 15 years of hands-on experience in the world of data architecture, data warehouses, enterprise-wide analytics, data democratization
- Strong knowledge of relational and non-relational databases (SQL Server, Oracle, PostgreSQL, MongoDB, Cassandra), data security, and privacy regulations (GDPR, CCPA)
- Proficiency and prior hands-on experience in cloud-based data platforms (AWS, Azure, GCP, Snowflake, Redshift, Big Query)
- Strong understanding of APIs, data contracts, and platform-as-a-product concepts.
- Proven expertise in data modeling (conceptual, logical, physical), data governance, master data management (MDM), data lineage and metadata management.
- Proven experience in implementing data lakes and data ingestion technologies
- Prior with BI/reporting tools (Tableau, Power BI, Looker etc.,)
- Strong analytical and problem-solving skills.
- Excellent communication skills to work with both technical and business teams.
- Ability to translate complex technical details into business-friendly terms.
- Self-starter with the ability to lead cross-functional data initiatives.
- AWS Certified Data Analytics or Solutions Architect
- Google Professional Data Engineer
- Microsoft Azure Data Engineer Associate
- DAMA Certified Data Management Professional (CDMP)
Qualys is an Equal Opportunity Employer, please see our EEO policy.
Salary : $150,000 - $195,000