Senior Cloud Data Architect

Job title:

Senior/Lead Cloud Data Architect (10+ Years Experience)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, NAAS Technologies, is seeking the following. Apply via Dice today!

• Design and oversee scalable, resilient, and cost-effective cloud data architectures (Data Lakes, Lake houses, Warehouses) on major platforms (AWS, Azure, Google Cloud Platform).
• Develop advanced data models, define robust ETL/ELT processes, and design high-performance data pipelines for real-time and batch analytics.
• Establish data governance, quality, lineage, privacy (GDPR, HIPAA, etc.), and security frameworks across cloud environments.
• Lead technical teams, mentor junior architects, and work closely with business stakeholders, data engineers, and security teams.
• Drive adoption of new technologies (AI/ML, GenAI, Streaming), optimize existing solutions, and support pre-sales/RFP activities.
• Hands-on work with key cloud services (e.g., AWS Redshift, S3, Glue; Azure Synapse; Google Cloud Platform Big Query) and platforms (Snowflake, Databricks).

• Experience:
  
  10+ years in data architecture, with significant focus on cloud platforms.
• Cloud Platforms:
  Deep expertise in at least one (AWS, Azure, Google Cloud Platform).
• Data Technologies:
  Strong grasp of data modeling, warehousing, streaming, and big data technologies (Snowflake, Databricks, etc.).
• Programming/Tools:
  Proficiency in Python, SQL, and Infrastructure as Code (IaC).
• Concepts:
  Data Mesh, Lakehouse, AI/ML integration, Data Governance.
• Soft Skills:
  
  Strategic thinking, problem-solving, communication, stakeholder management.

• Bachelor's/Master's in Computer Science or related field.
• Relevant Cloud Certifications (e.g., AWS Certified Solutions Architect, Azure Data Engineer).

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• Software Development