Principal Data Architect

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

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 e nsure our solutions keep data consistent, accurate, and secure

Collaborate on the implementation of cloud data platform s (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

Qualifications :

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 e xpertise 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., )

Communication Skills :

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.

Preferred Certifications (Nice to Have) :

AWS Certified Data Analytics or Solutions Architect

Google Professional Data Engineer

Microsoft Azure Data Engineer Associate

DAMA Certified Data Management Professional (CDMP)

Annual Salary Guidelines : $150,000 - $195,000

Qualys is an Equal Opportunity Employer, please see our EEO policy .