Databricks Architect
Indexed description
- AWS Data Services – S3, Redshift, Glue, Lambda, Athena.
- Data Modeling – Dimensional Modeling (Star/Snowflake), Data Warehouse Design.
- Data Lake Architecture – Amazon S3, Lake Formation, Data Lake best practices.
- Big Data & Processing – Spark/PySpark, Amazon EMR.
- ETL/ELT Development – AWS Glue, Airflow, Data Pipeline orchestration.
- SQL Expertise – Advanced SQL, query optimization, performance tuning.
- Streaming & Real-Time Data – Kinesis and/or Kafka
- Security & Governance – IAM, KMS, Lake Formation, Encryption, Data Governance.
- Infrastructure as Code – Terraform and/or CloudFormation.
- Architecture & Stakeholder Management – Solution design, cloud migration, business requirement translation.
Senior Databricks Architect with strong experience in designing and implementing enterprise-scale
Lakehouse architectures on cloud platforms. Expertise in Databricks, Spark, PySpark, Delta Lake, data modeling, and real-time data processing. Responsible for defining data strategy, architecture standards, governance, and scalable analytics platforms supporting AI/ML and business intelligence initiatives
Generic Managerial Skills, If any
- Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
- Proven effective communication with business and technical stakeholders.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $130,000 - $165,000 a year
Qualifications: BACHELOR OF COMPUTER SCIENCE
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