Strategic Data Systems, Inc.
1703 Data Architect / Principal Data Engineer III
Strategic Data Systems, Inc., Cincinnati, Ohio, United States, 45208
W2 Position in Cincinnati, Ohio. No Sponsorship Available
Overview We are recruiting for a
Data Architect / Principal Data Engineer III
to lead a large-scale migration initiative from
DB2 to a modern Cloud Data Platform (Azure, AWS, or GCP) . The ideal candidate combines deep technical expertise in
data architecture, ETL/ELT design, automation, and data quality
with strategic leadership to deliver phased, governed, and validated migration outcomes. This position requires strong collaboration with business, operations, and technology partners across the enterprise.
Top Skills
Proven experience in
Business Intelligence and Data Engineering
within large-scale environments
Strong
database design and SQL optimization
skills
Hands-on
experience leading or executing enterprise-scale data migrations
Understanding of
data validation, reconciliation, and quality control
frameworks
Nice to Have
Experience with
Java
and
WebSphere Application Server (WAS 9)
Familiarity with
DevOps practices
for data pipelines and CI/CD integration
Knowledge of
big data frameworks (Spark, Hadoop)
Working experience with
Python or ETL scripting languages (Informatica, DataStage, ADF)
Cloud experience in
Azure Synapse, Databricks, AWS Glue, or GCP BigQuery
Key Responsibilities
Architect and implement
end-to-end migration strategies
from DB2 to Cloud, ensuring data consistency, lineage, and reconciliation.
Design and optimize
ETL/ELT pipelines
for data ingestion, transformation, and delivery.
Build
Python-based automation scripts
for data validation and quality checks.
Define and manage
migration phases, checkpoints, and control metrics
to ensure accuracy and auditability.
Collaborate with
cross-functional teams —DBAs, architects, and business stakeholders—to meet compliance and performance goals.
Contribute to
data modeling, metadata management , and
governance frameworks
to align with enterprise data standards.
Support post-migration verification, ensuring
business continuity and reporting integrity .
Qualifications
8+ years in
data engineering, architecture, or analytics
3+ years of
data migration experience
involving large data volumes and multiple LOBs
Expertise in
SQL, DB2, ETL/ELT frameworks, and Python scripting
Cloud exposure in
Azure, AWS, or GCP
data ecosystem
Strong understanding of
Payments and Treasury Management
systems preferred
Excellent communication, documentation, and cross-team collaboration skills
What You’ll Get
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
Eligible for referral bonuses
Strategic Data Systems (SDS), Inc. is an equal employment opportunity employer. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or veteran status in accordance with applicable federal, state, and local laws.
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Overview We are recruiting for a
Data Architect / Principal Data Engineer III
to lead a large-scale migration initiative from
DB2 to a modern Cloud Data Platform (Azure, AWS, or GCP) . The ideal candidate combines deep technical expertise in
data architecture, ETL/ELT design, automation, and data quality
with strategic leadership to deliver phased, governed, and validated migration outcomes. This position requires strong collaboration with business, operations, and technology partners across the enterprise.
Top Skills
Proven experience in
Business Intelligence and Data Engineering
within large-scale environments
Strong
database design and SQL optimization
skills
Hands-on
experience leading or executing enterprise-scale data migrations
Understanding of
data validation, reconciliation, and quality control
frameworks
Nice to Have
Experience with
Java
and
WebSphere Application Server (WAS 9)
Familiarity with
DevOps practices
for data pipelines and CI/CD integration
Knowledge of
big data frameworks (Spark, Hadoop)
Working experience with
Python or ETL scripting languages (Informatica, DataStage, ADF)
Cloud experience in
Azure Synapse, Databricks, AWS Glue, or GCP BigQuery
Key Responsibilities
Architect and implement
end-to-end migration strategies
from DB2 to Cloud, ensuring data consistency, lineage, and reconciliation.
Design and optimize
ETL/ELT pipelines
for data ingestion, transformation, and delivery.
Build
Python-based automation scripts
for data validation and quality checks.
Define and manage
migration phases, checkpoints, and control metrics
to ensure accuracy and auditability.
Collaborate with
cross-functional teams —DBAs, architects, and business stakeholders—to meet compliance and performance goals.
Contribute to
data modeling, metadata management , and
governance frameworks
to align with enterprise data standards.
Support post-migration verification, ensuring
business continuity and reporting integrity .
Qualifications
8+ years in
data engineering, architecture, or analytics
3+ years of
data migration experience
involving large data volumes and multiple LOBs
Expertise in
SQL, DB2, ETL/ELT frameworks, and Python scripting
Cloud exposure in
Azure, AWS, or GCP
data ecosystem
Strong understanding of
Payments and Treasury Management
systems preferred
Excellent communication, documentation, and cross-team collaboration skills
What You’ll Get
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
Eligible for referral bonuses
Strategic Data Systems (SDS), Inc. is an equal employment opportunity employer. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or veteran status in accordance with applicable federal, state, and local laws.
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