Senior Data Engineer: Lakehouse & Snowflake Expert

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

Benefits offered by this job

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

Job summary

Cognizant is hiring a Senior Data Engineer - Snowflake and Lakehouse to design, build, and optimize scalable data solutions powering analytics and decision-making across the enterprise.

You will collaborate with client tech leads, analytics teams, data scientists, and platform engineers to deliver Lakehouse capabilities using Snowflake, dbt, Snowpark, and related tech; onsite in Phoenix or Johnston, RI with flexible work options where possible.

Qualifications

• Minimum 5 years of hands-on experience delivering data engineering solutions with Snowflake in enterprise environments.
• Strong experience with Snowflake platform capabilities, including virtual warehouses, security roles, tasks, performance tuning, and operational management.
• Proven experience implementing batch and real-time ingestion solutions using Snowpipe and Snowpipe Streaming.
• Hands-on experience with dbt for data transformations, testing, documentation, and version-controlled development practices.
• Strong experience with Snowpark using Python and Spark for scalable data processing and transformation workloads.
• Experience integrating Kafka event streams and/or Change Data Capture (CDC) pipelines with Snowflake.
• Hands-on experience with AWS services such as S3, IAM, Glue, and Lambda supporting cloud-based data platforms.
• Advanced SQL skills and strong understanding of data modeling, dimensional design, and Lakehouse architecture principles.
• Experience with Dynamic Tables, workflow orchestration, and automated pipeline management.
• Experience using Git-based source control and CI/CD practices for data engineering solutions.
• Strong understanding of data governance, security access controls, and cost optimization within Snowflake environments.

Responsibilities

• Design and build scalable batch and near real-time data ingestion pipelines using Snowpipe and Snowpipe Streaming.
• Develop and maintain robust data transformation frameworks and curated data models using dbt and industry best practices.
• Build and optimize data processing solutions using Snowpark (Python and Spark) to support advanced transformations and machine learning use cases.
• Implement and manage Dynamic Tables, Snowflake Tasks, and workflow orchestration to automate and streamline data operations.
• Design and maintain Apache Iceberg-based Lakehouse architectures that enable open, interoperable, and high-performing data platforms.
• Integrate Kafka event streams and CDC data sources into Snowflake to support scalable real-time analytics.
• Monitor data platform health, optimize warehouse utilization, and implement cost and performance controls.
• Establish data quality standards, schema validation processes, testing frameworks, and operational runbooks.
• Partner with cross-functional stakeholders to define data contracts, governance standards, and Lakehouse architecture guidelines.
• Create and maintain technical documentation, architecture diagrams, data lineage artifacts, and operational runbooks.

Skills

Snowflake

SQL

Python

Data modeling

Lakehouse

Git CI/CD

Spark

Kafka

CDC

AWS

Tools

Snowpipe

Snowpipe Streaming

dbt

Snowpark

Spark

Iceberg

Kafka

Airflow

S3

IAM

Glue

Lambda

Job description

Cognizant is hiring a Senior Data Engineer - Snowflake and Lakehouse to design, build, and optimize scalable data solutions powering analytics and decision-making across the enterprise.

You will collaborate with client tech leads, analytics teams, data scientists, and platform engineers to deliver Lakehouse capabilities using Snowflake, dbt, Snowpark, and related tech; onsite in Phoenix or Johnston, RI with flexible work options where possible.