Databricks Architect_

Q1 Technologies, Inc.
Aurora, IL, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon S3 Big Data Data Governance Extract Transform Load (ETL) Data Warehousing Dimensional Modeling Identity and Access Management Performance Tuning Query Optimization Standard Sql
+18 more
Data Streaming Sql Optimization Snowflake Apache Spark Data Strategy Cloudformation Data Lakes Pyspark AWS Lake Formation AWS Glue AWS Data Analytics Real Time Data Apache Kafka Terraform Stream Processing Data Pipelines Amazon Elastic Mapreduce (EMR) Databricks

Requirements

  • 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.

Roles & Responsibilities

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.

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