Cognizant
Overview
Job Title - Databricks Architect
Databricks Architect with expertise in building scalable data solutions on AWS
Responsibilities
Supply Chain, Consumer Goods / Retail domain knowledge required.
Experience in modernizing (solutions and hands-on execution) enterprise data platforms from legacy to AWS cloud
Deep knowledge and experience in Data Modelling (OLAP and OLTP), Data Lake, Data Warehousing, ETL/ELT pipelines on both on-premise legacy and on AWS
Lead migration and modernization of legacy ETL processes from Informatica, DataStage, and SQL Server to cloud-native solutions.
Design and optimize data workflows for ingestion, transformation, and analytics using AWS-native services
Design and Build data pipelines and solutions using Databricks (PySpark and SparkSQL) on AWS
Experience with building Medallion architecture based data estates
Experience in building Databricks Delta Lake based Lakehouse using DLT, PySpark Jobs, Databricks Workflows
Proficient in SQL, Python, PySpark, S3, Lambda
Working knowledge of Git, CI/CD, VS Code
Proficient in AWS data ingestion stack
Must have knowledge and ability to scale up on Glue, Lambda, Step Functions, Spark Streaming and other services on a need basis
Implementation experience of several key data concepts such as CDC (Change Data Capture), Streaming and/or Batch ingestion, Pull v/s Push paradigms, Source to Target mapping, and so on
Collaborate with cross-functional teams to gather requirements and deliver scalable, secure, and high-performance data solutions.
Strong semantic layer modelling and implementation experience
Establish best practices for data governance, lineage, and quality across hybrid environments.
Provide technical leadership and mentoring to data engineers and developers.
Monitor and troubleshoot performance issues across Databricks and AWS services.
Understanding of key reporting stack such as Power BI, Tableau, Alteryx, Excel BI Add-Ins a plus
Certifications
Databricks Certified Data Engineer Associate
Application timeline Applications will be accepted until 10/17/25
Salary and Benefits The annual salary for this position is between $88,200 - $139,500 depending on experience and other qualifications of the successful candidate.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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Databricks Architect with expertise in building scalable data solutions on AWS
Responsibilities
Supply Chain, Consumer Goods / Retail domain knowledge required.
Experience in modernizing (solutions and hands-on execution) enterprise data platforms from legacy to AWS cloud
Deep knowledge and experience in Data Modelling (OLAP and OLTP), Data Lake, Data Warehousing, ETL/ELT pipelines on both on-premise legacy and on AWS
Lead migration and modernization of legacy ETL processes from Informatica, DataStage, and SQL Server to cloud-native solutions.
Design and optimize data workflows for ingestion, transformation, and analytics using AWS-native services
Design and Build data pipelines and solutions using Databricks (PySpark and SparkSQL) on AWS
Experience with building Medallion architecture based data estates
Experience in building Databricks Delta Lake based Lakehouse using DLT, PySpark Jobs, Databricks Workflows
Proficient in SQL, Python, PySpark, S3, Lambda
Working knowledge of Git, CI/CD, VS Code
Proficient in AWS data ingestion stack
Must have knowledge and ability to scale up on Glue, Lambda, Step Functions, Spark Streaming and other services on a need basis
Implementation experience of several key data concepts such as CDC (Change Data Capture), Streaming and/or Batch ingestion, Pull v/s Push paradigms, Source to Target mapping, and so on
Collaborate with cross-functional teams to gather requirements and deliver scalable, secure, and high-performance data solutions.
Strong semantic layer modelling and implementation experience
Establish best practices for data governance, lineage, and quality across hybrid environments.
Provide technical leadership and mentoring to data engineers and developers.
Monitor and troubleshoot performance issues across Databricks and AWS services.
Understanding of key reporting stack such as Power BI, Tableau, Alteryx, Excel BI Add-Ins a plus
Certifications
Databricks Certified Data Engineer Associate
Application timeline Applications will be accepted until 10/17/25
Salary and Benefits The annual salary for this position is between $88,200 - $139,500 depending on experience and other qualifications of the successful candidate.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
#J-18808-Ljbffr