Highlights
Expertise in Databricks, Spark, PySpark, Delta Lake, data modeling, and real-time data processing. • Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
Numbers & Facts
| Location | Aurora, IL |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
Role –Databricks Architect
Fulltime Role with TCS
Malvern, PA (Onsite only No remote)
Job Description
Must Have Technical/Functional Skills
• 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.
Fulltime Role with TCS
Malvern, PA (Onsite only No remote)
Job Description
Must Have Technical/Functional Skills
• 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.
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.
