Strategic Data Systems, Inc.
Data Architect / Principal Data Engineer III
Strategic Data Systems, Inc., Cincinnati, Ohio, United States, 45208
W2- On Site in Cincinnati, Ohio
20th October, 2025
For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community. Job Title:
Data Architect / Principal Data Engineer III Location:
Onsite – Cincinnati, OH (Madisonville) Overview
We are seeking a highly skilled and visionary Data Architect / Principal Data Engineer III to lead the modernization and engineering of enterprise-grade data platforms that power Disputes Operations and related functions across the bank. This individual will design and implement scalable, secure, and high-performance data architectures that integrate seamlessly with core banking systems, ServiceNow FSO, AdjustmentHub, and NetReveal. The ideal candidate combines deep technical expertise with a strategic mindset—capable of architecting robust data solutions while mentoring team members and driving data excellence across the organization. Key Responsibilities
Architect, design, and implement
end-to-end data solutions
that support analytics, regulatory compliance, fraud prevention, and operational efficiency. Develop
high-performance data pipelines
using
DataStage, DBT, and Elevate
to enable reliable data flow across multiple domains. Build and maintain
data models, marts, and warehouses
in
Snowflake , ensuring consistency, scalability, and adherence to enterprise data standards. Integrate
streaming data
via
Kafka
and build near-real-time data products for business-critical operations. Implement and optimize
CI/CD pipelines
using
Jenkins
and
MettleCI
to ensure fast, reliable deployments. Drive best practices for
data governance, metadata management, and data quality monitoring
across the platform. Collaborate closely with product owners, data scientists, and business stakeholders to align data architecture with strategic priorities. Leverage
Python, SQL, and Java
for automation, data validation, and process orchestration. Support and enforce security and compliance standards required in a regulated banking environment. Mentor junior engineers and contribute to the continuous improvement of the organization’s
data engineering maturity . Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of experience in
data engineering, architecture, and ETL/ELT pipeline design . Strong hands-on expertise with
IBM DataStage ,
DBT ,
Kafka , and
Snowflake . Proficiency in scripting and programming languages such as
Python, Java, and SQL . Experience with
CI/CD automation
(Jenkins, MettleCI, GitHub). Familiarity with
cloud environments
(AWS, Azure, or GCP). Knowledge of
data modeling ,
metadata management , and
data governance principles . Prior experience working in
financial services or other regulated industries
strongly preferred. Excellent analytical, communication, and collaboration skills in
Agile/SAFe
environments. What You'll Get
SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Competitive base salary Medical, dental, and vision insurance coverage Optional life and disability insurance provided 401(k) with a company match and optional profit sharing Paid vacation time Paid Bench time Training allowance offering You’ll be eligible to earn referral bonuses!
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For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community. Job Title:
Data Architect / Principal Data Engineer III Location:
Onsite – Cincinnati, OH (Madisonville) Overview
We are seeking a highly skilled and visionary Data Architect / Principal Data Engineer III to lead the modernization and engineering of enterprise-grade data platforms that power Disputes Operations and related functions across the bank. This individual will design and implement scalable, secure, and high-performance data architectures that integrate seamlessly with core banking systems, ServiceNow FSO, AdjustmentHub, and NetReveal. The ideal candidate combines deep technical expertise with a strategic mindset—capable of architecting robust data solutions while mentoring team members and driving data excellence across the organization. Key Responsibilities
Architect, design, and implement
end-to-end data solutions
that support analytics, regulatory compliance, fraud prevention, and operational efficiency. Develop
high-performance data pipelines
using
DataStage, DBT, and Elevate
to enable reliable data flow across multiple domains. Build and maintain
data models, marts, and warehouses
in
Snowflake , ensuring consistency, scalability, and adherence to enterprise data standards. Integrate
streaming data
via
Kafka
and build near-real-time data products for business-critical operations. Implement and optimize
CI/CD pipelines
using
Jenkins
and
MettleCI
to ensure fast, reliable deployments. Drive best practices for
data governance, metadata management, and data quality monitoring
across the platform. Collaborate closely with product owners, data scientists, and business stakeholders to align data architecture with strategic priorities. Leverage
Python, SQL, and Java
for automation, data validation, and process orchestration. Support and enforce security and compliance standards required in a regulated banking environment. Mentor junior engineers and contribute to the continuous improvement of the organization’s
data engineering maturity . Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of experience in
data engineering, architecture, and ETL/ELT pipeline design . Strong hands-on expertise with
IBM DataStage ,
DBT ,
Kafka , and
Snowflake . Proficiency in scripting and programming languages such as
Python, Java, and SQL . Experience with
CI/CD automation
(Jenkins, MettleCI, GitHub). Familiarity with
cloud environments
(AWS, Azure, or GCP). Knowledge of
data modeling ,
metadata management , and
data governance principles . Prior experience working in
financial services or other regulated industries
strongly preferred. Excellent analytical, communication, and collaboration skills in
Agile/SAFe
environments. What You'll Get
SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Competitive base salary Medical, dental, and vision insurance coverage Optional life and disability insurance provided 401(k) with a company match and optional profit sharing Paid vacation time Paid Bench time Training allowance offering You’ll be eligible to earn referral bonuses!
#J-18808-Ljbffr