Highlights
Experienced in Data Lakes, Lakehouse architectures, Databricks,, Redshift, Athena and real-time data processing solutions. Data Architect with strong expertise in designing and implementing enterprise-scale data platforms on AWS and Azure.
Numbers & Facts
| Location | Aurora, IL |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
Job Title: Information Technology_USA - USA_Platform Architect
Role Name - Databricks Architect
Malvern, PA
ROLE_DESCRIPTION -
Role – Databricks Architect
Data Architect with strong expertise in designing and implementing enterprise-scale data platforms on AWS and Azure. Experienced in Data Lakes, Lakehouse architectures, Databricks, , Redshift, Athena and real-time data processing solutions. Proven ability to deliver secure, scalable, and governed data ecosystems supporting analytics, AI/ML, and business intelligence initiatives.
Skills - Data Architect
AWS Data Architecture – Design scalable, secure, and high-performance data platforms on AWS.
Data Modeling – Conceptual, Logical, Physical, Star & Snowflake schema design.
Data Lakes – Amazon S3, Lake Formation, Data Lake architecture.
Data Warehousing – Amazon Redshift and enterprise data warehouse design.
Big Data Processing – Apache Spark, PySpark, Amazon EMR.
ETL/ELT Development – AWS Glue, Lambda, Step Functions, Airflow.
Streaming & Real-Time Analytics – Amazon Kinesis, Kafka, MSK.
Data Governance & Security – IAM, KMS, Lake Formation, Encryption, Data Lineage.
DevOps & Infrastructure as Code – Terraform, CloudFormation, CI/CD Pipelines.
Solution Design & Stakeholder Management – Business requirement analysis and end-to-end architecture design.
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Databricks Experience Required: 8-10
Role Name - Databricks Architect
Malvern, PA
ROLE_DESCRIPTION -
Role – Databricks Architect
Data Architect with strong expertise in designing and implementing enterprise-scale data platforms on AWS and Azure. Experienced in Data Lakes, Lakehouse architectures, Databricks, , Redshift, Athena and real-time data processing solutions. Proven ability to deliver secure, scalable, and governed data ecosystems supporting analytics, AI/ML, and business intelligence initiatives.
Skills - Data Architect
AWS Data Architecture – Design scalable, secure, and high-performance data platforms on AWS.
Data Modeling – Conceptual, Logical, Physical, Star & Snowflake schema design.
Data Lakes – Amazon S3, Lake Formation, Data Lake architecture.
Data Warehousing – Amazon Redshift and enterprise data warehouse design.
Big Data Processing – Apache Spark, PySpark, Amazon EMR.
ETL/ELT Development – AWS Glue, Lambda, Step Functions, Airflow.
Streaming & Real-Time Analytics – Amazon Kinesis, Kafka, MSK.
Data Governance & Security – IAM, KMS, Lake Formation, Encryption, Data Lineage.
DevOps & Infrastructure as Code – Terraform, CloudFormation, CI/CD Pipelines.
Solution Design & Stakeholder Management – Business requirement analysis and end-to-end architecture design.
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Databricks Experience Required: 8-10
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
