ManpowerGroup Global, Inc.
Data Architect
Must be located in Chicago IL, Washington DC or Denver CO - onsite 5 days a week. Must be able to work W2.
Job Summary This role is responsible for executing data architectural solutions for complex initiatives spanning multiple Lines of Business and control functions. The Senior Data Architect will collaborate with stakeholders to ensure adherence to enterprise data management policies and standards, design secure data architecture solutions, and support architecture design reviews. A strong focus on
cybersecurity
and
ServiceNow implementation
is required.
The ideal candidate will have deep experience in
data management, governance, and ServiceNow integrations , combined with proven hands-on expertise in
cybersecurity, cloud platforms, and enterprise data architecture .
Key Responsibilities
Design and implement
secure, scalable data architectures
to support enterprise initiatives.
Lead and execute
ServiceNow implementations and integrations , including CMDB, ITSM, ITOM, and reporting workflows.
Collaborate with cross-functional teams to ensure
data-centric security measures align with business needs and compliance requirements .
Facilitate
architecture discussions , review solutions, and provide guidance on
data governance, lineage, quality, and standards .
Educate data management teams on enterprise
data architectural principles
and cybersecurity best practices.
Support Agile delivery processes and manage multiple initiatives simultaneously.
Required Skills
ServiceNow implementation experience , including CMDB, ITSM, ITOM, data reporting, and integrations.
Hands-on experience with data architecture design
in large, complex environments.
Cloud platform expertise:
AWS, Azure, GCP.
Cybersecurity knowledge:
data protection, monitoring, logging, compliance, zero trust architecture.
Strong
data modeling, relational and dimensional design , and metadata management skills.
Hands-on experience with
ETL/ELT and API-based data provisioning .
Proficiency with
SQL, Python , and data analysis/profiling tools.
Familiarity with
big data platforms and database systems:
Hadoop, Spark, Oracle, SQL Server, MongoDB, Teradata.
Strong understanding of
data governance, critical data elements, lineage, quality, and remediation .
Excellent
communication and presentation skills , including ability to convey complex ideas to large groups.
Desired Skills
Experience with
next-generation tools
and emerging technologies (AI/ML, RPA).
Knowledge of
metadata/lineage tools, data catalogs, and data contracts .
Familiarity with
operational data governance, privacy, and regulatory compliance .
Experience integrating
enterprise data pipelines with ServiceNow
and supporting data-driven IT processes.
Industry certifications (CDMP, TOGAF, cloud certifications) a plus.
Qualifications
Bachelor’s or Master’s degree in
Computer Science, IT, or related field , or equivalent experience.
5+ years experience as a
Data Architect
or similar role with hands-on implementation experience.
5–10+ years of experience in
relational and dimensional data modeling , metadata management, and data integration.
Ability to
independently architect solutions, lead code/design reviews, and ensure quality
throughout projects.
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Job Summary This role is responsible for executing data architectural solutions for complex initiatives spanning multiple Lines of Business and control functions. The Senior Data Architect will collaborate with stakeholders to ensure adherence to enterprise data management policies and standards, design secure data architecture solutions, and support architecture design reviews. A strong focus on
cybersecurity
and
ServiceNow implementation
is required.
The ideal candidate will have deep experience in
data management, governance, and ServiceNow integrations , combined with proven hands-on expertise in
cybersecurity, cloud platforms, and enterprise data architecture .
Key Responsibilities
Design and implement
secure, scalable data architectures
to support enterprise initiatives.
Lead and execute
ServiceNow implementations and integrations , including CMDB, ITSM, ITOM, and reporting workflows.
Collaborate with cross-functional teams to ensure
data-centric security measures align with business needs and compliance requirements .
Facilitate
architecture discussions , review solutions, and provide guidance on
data governance, lineage, quality, and standards .
Educate data management teams on enterprise
data architectural principles
and cybersecurity best practices.
Support Agile delivery processes and manage multiple initiatives simultaneously.
Required Skills
ServiceNow implementation experience , including CMDB, ITSM, ITOM, data reporting, and integrations.
Hands-on experience with data architecture design
in large, complex environments.
Cloud platform expertise:
AWS, Azure, GCP.
Cybersecurity knowledge:
data protection, monitoring, logging, compliance, zero trust architecture.
Strong
data modeling, relational and dimensional design , and metadata management skills.
Hands-on experience with
ETL/ELT and API-based data provisioning .
Proficiency with
SQL, Python , and data analysis/profiling tools.
Familiarity with
big data platforms and database systems:
Hadoop, Spark, Oracle, SQL Server, MongoDB, Teradata.
Strong understanding of
data governance, critical data elements, lineage, quality, and remediation .
Excellent
communication and presentation skills , including ability to convey complex ideas to large groups.
Desired Skills
Experience with
next-generation tools
and emerging technologies (AI/ML, RPA).
Knowledge of
metadata/lineage tools, data catalogs, and data contracts .
Familiarity with
operational data governance, privacy, and regulatory compliance .
Experience integrating
enterprise data pipelines with ServiceNow
and supporting data-driven IT processes.
Industry certifications (CDMP, TOGAF, cloud certifications) a plus.
Qualifications
Bachelor’s or Master’s degree in
Computer Science, IT, or related field , or equivalent experience.
5+ years experience as a
Data Architect
or similar role with hands-on implementation experience.
5–10+ years of experience in
relational and dimensional data modeling , metadata management, and data integration.
Ability to
independently architect solutions, lead code/design reviews, and ensure quality
throughout projects.
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