Senior Data Engineer, Snowflake & Lakehouse

Cognizant; Phoenix (AZ); On-site; USD 100,000 - 115,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior Data Engineer to design, build, and optimize scalable data solutions on Snowflake Lakehouse. You will collaborate with analytics and engineering teams to deliver modern data platforms, incorporating Snowflake, Iceberg, Kafka streams, and CDC pipelines.

You will implement data contracts, governance standards, and operate pipelines with robust testing, quality controls, and cost optimization in a client-focused environment in the United States.

Qualifications

• 5+ years of hands-on data engineering experience with Snowflake in enterprise settings.
• Strong knowledge of Snowflake features: virtual warehouses, tasks, security, performance.
• Proven experience building batch and real-time ingestion with Snowpipe pipelines.
• Hands-on dbt for transformations, testing, and version control.
• Experience with Snowpark (Python/Spark) for scalable processing.
• Experience integrating Kafka or CDC pipelines with Snowflake.
• Experience with AWS services (S3, IAM, Glue, Lambda) for cloud data platforms.
• Advanced SQL, data modeling, dimensional design, and Lakehouse principles.
• Familiarity with dynamic tables, orchestration, and CI/CD for data.

Responsibilities

• Design and implement scalable data ingestion pipelines using Snowpipe and Snowpipe Streaming.
• Develop and maintain robust data transformation frameworks with dbt.
• Build Lakehouse architectures with Snowflake, Iceberg, and related tooling.
• Integrate Kafka streams and CDC sources for real-time analytics.
• Optimize warehouse usage and implement cost/performance controls.
• Establish data quality, schema validation, and testing frameworks.
• Collaborate with stakeholders to define data contracts and governance.
• Create architecture diagrams, data lineage, and runbooks.
• Lead or support migrations to modern Lakehouse architectures.

Skills

Snowflake

Snowpipe

Snowpark

dbt

Kafka

Spark

Python

AWS

Git

Airflow

SQL

Data modeling

CI/CD

Tools

Snowflake

Snowpipe

Snowpark

dbt

Kafka

Python

Spark

Airflow

Git

S3

Job description

Cognizant is seeking a Senior Data Engineer to design, build, and optimize scalable data solutions on Snowflake Lakehouse. You will collaborate with analytics and engineering teams to deliver modern data platforms, incorporating Snowflake, Iceberg, Kafka streams, and CDC pipelines.

You will implement data contracts, governance standards, and operate pipelines with robust testing, quality controls, and cost optimization in a client-focused environment in the United States.