Cognizant
About Us:
Cognizant is one of the world’s leading professional services companies, redefining clients’ business, operating, and technology models for the digital era. Our outstanding industry‑based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
Work Location : Charlotte, NC
Job Summary We are seeking an experienced
Senior Data Engineer / Architect
with 14+ years of expertise in designing and implementing scalable data solutions. The ideal candidate will have strong proficiency in
Snowflake ,
ETL/ELT pipelines ,
dbt ,
Airflow , and
Salesforce integration , along with hands‑on experience in cloud platforms and data orchestration tools. This role involves leading data architecture initiatives, optimizing data workflows, and ensuring high‑performance data systems to support business intelligence and analytics.
Key Responsibilities
Design and implement
data architecture
and
data models
for enterprise‑scale solutions on
Snowflake
and AWS Cloud.
Lead
database migration , deployment, and production releases across environments (Dev, QA, Prod).
Develop and optimize
ELT pipelines
using
Airflow ,
Python , and
dbt , improving efficiency and reducing manual processes.
Implement
dbt
for modular data transformation, testing, and documentation; create custom macros for automation.
Build and maintain
ETL processes
using
Matillion , integrating data from Salesforce, Oracle, and Teradata into Snowflake.
Configure and manage
Snowflake features
such as Snowpipe, Time Travel, and Zero‑Copy Cloning for continuous data loading and recovery.
Optimize
SQL queries
and database performance across Snowflake, Postgres, Redshift, and Oracle.
Manage
Salesforce data integration , including standard/custom objects, roles, security profiles, and workflow rules.
Ensure
data governance , security, and compliance across all data platforms.
Create
data visualizations
using Tableau, Power BI, and Einstein Analytics to support business insights.
Collaborate with cross‑functional teams to gather requirements and deliver scalable data solutions.
Provide technical leadership and mentor junior engineers on best practices in data engineering and analytics.
Required Skills & Qualifications
10+ years of experience in
Data Engineering , with strong expertise in
Snowflake ,
ETL/ELT , and
data modeling .
Hands‑on experience with
dbt ,
Airflow , and
Python scripting
for data orchestration and automation.
Proficiency in
Salesforce integration
and data management.
Strong knowledge of
RDBMS
(Oracle, Teradata, Postgres) and
SQL performance tuning .
Experience with
AWS services
(S3, Redshift) and cloud‑based data warehousing.
Familiarity with
Informatica IICS ,
Matillion , and other ETL tools.
Excellent problem‑solving, communication, and collaboration skills.
Preferred Skills
Experience with
Kafka ,
MongoDB , and
Cassandra Graph .
Knowledge of
data governance frameworks
and compliance standards.
Exposure to
BI tools
like Tableau, Power BI, and Business Objects.
#LI-SM1
Application Expire: 1/19/2026
The annual salary for this position is between $70,000 – $117,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
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
Work Location : Charlotte, NC
Job Summary We are seeking an experienced
Senior Data Engineer / Architect
with 14+ years of expertise in designing and implementing scalable data solutions. The ideal candidate will have strong proficiency in
Snowflake ,
ETL/ELT pipelines ,
dbt ,
Airflow , and
Salesforce integration , along with hands‑on experience in cloud platforms and data orchestration tools. This role involves leading data architecture initiatives, optimizing data workflows, and ensuring high‑performance data systems to support business intelligence and analytics.
Key Responsibilities
Design and implement
data architecture
and
data models
for enterprise‑scale solutions on
Snowflake
and AWS Cloud.
Lead
database migration , deployment, and production releases across environments (Dev, QA, Prod).
Develop and optimize
ELT pipelines
using
Airflow ,
Python , and
dbt , improving efficiency and reducing manual processes.
Implement
dbt
for modular data transformation, testing, and documentation; create custom macros for automation.
Build and maintain
ETL processes
using
Matillion , integrating data from Salesforce, Oracle, and Teradata into Snowflake.
Configure and manage
Snowflake features
such as Snowpipe, Time Travel, and Zero‑Copy Cloning for continuous data loading and recovery.
Optimize
SQL queries
and database performance across Snowflake, Postgres, Redshift, and Oracle.
Manage
Salesforce data integration , including standard/custom objects, roles, security profiles, and workflow rules.
Ensure
data governance , security, and compliance across all data platforms.
Create
data visualizations
using Tableau, Power BI, and Einstein Analytics to support business insights.
Collaborate with cross‑functional teams to gather requirements and deliver scalable data solutions.
Provide technical leadership and mentor junior engineers on best practices in data engineering and analytics.
Required Skills & Qualifications
10+ years of experience in
Data Engineering , with strong expertise in
Snowflake ,
ETL/ELT , and
data modeling .
Hands‑on experience with
dbt ,
Airflow , and
Python scripting
for data orchestration and automation.
Proficiency in
Salesforce integration
and data management.
Strong knowledge of
RDBMS
(Oracle, Teradata, Postgres) and
SQL performance tuning .
Experience with
AWS services
(S3, Redshift) and cloud‑based data warehousing.
Familiarity with
Informatica IICS ,
Matillion , and other ETL tools.
Excellent problem‑solving, communication, and collaboration skills.
Preferred Skills
Experience with
Kafka ,
MongoDB , and
Cassandra Graph .
Knowledge of
data governance frameworks
and compliance standards.
Exposure to
BI tools
like Tableau, Power BI, and Business Objects.
#LI-SM1
Application Expire: 1/19/2026
The annual salary for this position is between $70,000 – $117,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
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