Senior Data Security & Databricks Architect at VTekis Consulting LLP

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Data Engineering, Data Architecture, Data Security, PHI/PII Handling, Delta Lake, Apache Iceberg, Microsoft Azure, Snowflake, Python, SQL, Spark, PySpark, Scala, RBAC, Data Masking

Industry

Staffing and Recruiting

Description

Company Description We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Job Description Key qualification requirements: 10+ years of experience in data engineering, data architecture, or data security roles. • Strong hands-on experience with Databricks Lakehouse platform. • Proven expertise in PHI/PII data handling, data classification, and compliance frameworks. • Deep knowledge of data security techniques, including: • Data masking • Encryption • Data minimization • Experience working with modern table formats: • Delta Lake • Apache Iceberg • Interoperable data architectures • Strong understanding of cloud platforms, especially Microsoft Azure. • Experience integrating Databricks with Snowflake or similar data platforms. • Hands-on experience building data dashboards and monitoring frameworks within Databricks. • Expertise in RBAC implementation and access control frameworks. • Experience with AI/ML integrations and enabling self-service analytics platforms. • Proficiency in Python, SQL, and Spark (PySpark/Scala). • Experience building scalable data applications and APIs within Databricks. • Strong knowledge of performance optimization techniques, including caching and query tuning. Regards, Mohammed ilyas, PH - 229-264-4024 or text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

The architect will design and implement secure data architectures using the Databricks Lakehouse platform. They are responsible for managing data compliance, building scalable data applications, and integrating various data platforms.