Required:

Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Data Science, or a related field
10+ years of experience in data engineering, data architecture, cloud architecture, or enterprise technology leadership roles
5+ years of hands-on experience with Databricks and modern cloud-based data platforms
Extensive experience designing and implementing enterprise-scale data lake, data warehouse, and Lakehouse architectures
Strong expertise in Databricks, Delta Lake, Unity Catalog, Workflows, and Databricks SQL
Hands-on experience with AWS services such as S3, IAM, Glue, Lambda, EC2, RDS, Redshift, CloudWatch, and networking services
Experience designing data pipelines using Spark, PySpark, SQL, and modern orchestration frameworks
Deep understanding of data governance, security, metadata management, cataloging, lineage, and compliance requirements
Experience with CI/CD, Infrastructure as Code, DevOps, and platform automation practices
Strong knowledge of analytics, machine learning, and AI data platform requirements




Experience establishing enterprise architecture standards, patterns, and best practices
Proven ability to design highly available, scalable, and cost-effective cloud architectures
Strong stakeholder management skills with experience engaging executive leadership, business stakeholders, and technical teams
Ability to evaluate trade-offs and make architecture decisions in complex and ambiguous environments
Strong communication and presentation skills with the ability to influence technical and non-technical audiences
Proven leadership experience driving large-scale transformation and modernization initiatives
Preferred :

Knowledge of Databricks Genie, AI/BI capabilities, and natural language-driven analytics solutions
Databricks Certified Data Engineer Professional certification
Databricks Certified Machine Learning Professional certification
Databricks Certified Platform Architect certification
AWS Solutions Architect As

📌 Senior Data Engineer (India)
🏢 Deltacubes
📍 India