Senior Data Architect

About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.

DS Technologies Inc is looking for Senior Data Architect role for one of our premier clients.

Overview:
We are seeking a highly skilled Senior Data Architect with expertise in Data Lake and Data Governance to join a leading semiconductor client. This role involves designing scalable data architectures, managing large datasets, and enforcing robust data governance policies. The position is hybrid with relocation options available.

Position: Contract

Responsibilities:

• Design, develop, and implement Data Lake architectures for performance, scalability, and security.
• Lead organization-wide data governance initiatives, ensuring data quality, integrity, and compliance.
• Collaborate with cross-functional teams to deliver end-to-end data solutions.
• Implement data governance policies, including data classification, lineage, and access controls.
• Design data models to support analytics, reporting, and business intelligence.
• Align data architectures with business strategies, especially in the semiconductor domain.
• Evaluate and recommend new data technologies, tools, and platforms.
• Mentor junior data architects and engineers with technical guidance.

Requirements and Qualifications:

• Experience:

  • 8 years in data architecture, with 3 years focusing on Data Lake and Data Governance.
  • Expertise in metadata management, data lineage, and governance frameworks.
  • Proven experience with cloud data platforms (AWS, Azure, GCP) and data engineering tools.
  • Hands-on experience with Data Lakes (Hadoop, Spark, Delta Lake, etc.) and big data technologies.
  • Proficiency in SQL and ETL/ELT processes.
  • Understanding of data privacy regulations like GDPR and CCPA.

• Preferred Skills:

  • Experience with Data Warehousing tools (Snowflake, Redshift, BigQuery).
  • Familiarity with machine learning and advanced analytics.
  • Agile project management experience.

• Industry Experience:

  • Semiconductor or other highly technical sectors is a plus.

• Soft Skills:

  • Strong communication and collaboration skills.

Additional Information:

• This role emphasizes Data Lake architectures, governance frameworks, and cloud data platforms.
• Candidates with semiconductor industry experience or advanced analytics expertise will have an advantage.

Candidate Details:

• Minimum of 8 years in data architecture roles with a focus on governance and big data.
• Must demonstrate proficiency in cloud platforms and data compliance standards.