**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 Description Summary This job is responsible for the execution of data architectural solutions for complex initiatives that span multiple Lines of Business and control functions. Key responsibilities include facilitating solution driven discussions, working with stakeholders to support adherence to the enterprise data management policy and standards, and supporting architecture design reviews to ensure integration of data architecture principles in technology solutions. Job expectations include educating data management teams on enterprise data architectural principles and data management processes and routines. Job Description We are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. Position Summary We are seeking a highly skilled and experienced Senior Data Architect with a strong focus on cybersecurity. As a Senior Data Architect, you will be responsible for designing secure and scalable architecture solutions to safeguard our organizations critical information assets.You will work closely with cross-functional teams to ensure that data-centric security measures align with business needs and compliance requirements. The ideal candidate will possess in-depth knowledge of cybersecurity principles, data management best practices and have a proven track record of successfully implementing a monitoring and logging strategy in both structured and unstructured data within a big data environment. Required skills Expertise in major cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP) Hands on experience working with or implementing data fabric technology (Starburst) Working knowledge of the Open Cybersecurity Schema Framework (OCSF) Bachelors or masters degree in Computer Science, Information Technology, or related field. Or equivalent experience. 5+ years proven experience as a Data Architect or similar role with a focus on designing and implementing complex data architecture. Strong knowledge of data management principles, data modeling techniques and data integration patterns. In-depth understanding of data security, data privacy, and data governance concepts. Hands on experience with data modeling tools (SAP PowerDesigner, Erwin Data Modeler), database management systems, big data environments and ETL tools. Excellent problem-solving skills and the ability to analyze complex data related challenges Strong communication and collaboration skills to work effectively with cross-functional teams Project management experience with the ability to handle multiple initiatives concurrently. 5-10+ years experience in relational and dimensional data modeling as well as metadata build and management. Hands on expertise in relational and NOSQL database systems. Strong SQL and Python skills are a must. Thorough understanding of real time, batch, and event-based data provisioning. Hands on experience in ETL/ELT and API based data provisioning patterns. Needs to be a skilled communicator with tools like Visio, PowerPoint, and be able to quickly put together and present ideas to large groups clearly and effectively. Strong Excel skills experience working with large amounts of data, conducting analysis and present findings Hands-on design and implementation experience with one/more of the following data tools: Data Analysis / Profiling - Python (Jupyterlab, PyCharm, etc.), Toad, MySQL Data Platforms - Hadoop, Spark, Oracle, Exadata, SQL Server, DB2, MongoDB, Teradata, Splunk Databases: Relational, Warehouse, Graph, Key-Value, Document, In-Memory, Caching, Wide-Column, Time-Series, Ledger Data Transformation - Informatica, SSIS, Alteryx, Trifacta BI - Tableau, Microstrategy, metadata/lineage tools, Distributed Caching tools. In-depth understanding of Data Governance process - identify critical data elements, metadata, data lineage, data dictionary, data model, Data Sharing Agreements, Service Level Agreements, Data Management Standards. 5+ years experience with Data Quality measurements/Scorecards, Control, Remediation along with Data reconciliation techniques. Able to independently architect solutions, lead code reviews and ensure quality throughout the life of each project. Experience working as part of the Agile team and using Agile SDLS tools Desired Skills: Opens Cybersecurity Schema Framework (OCSF) Common Information Models (CIM)s ServiceNow Hybrid data mesh + data fabric fluency, Starburst/Trino Lakehouse foundations open table formats Event streaming CDC Vector search RAG data design LLMOps integration for data AI governance standards Operational data governance privacy End to end lineage standards Data contracts domain data products Data/AI observability Zero Trust data architecture Data Profiling, Data Cleansing, Data quality controls, Data Visualizations Dimensional, Data Vault, Anchor and semantic modeling Metadata, Lineage, Data Catalogs Data Build Tool (dbt) Knowledgeable in Cybersecurity, Audit and regulatory concerns. Experience with next generation tools and technologies is a plus (AI/ML, RPA etc.) Industry certifications such as Certified Data Management Professional (CDMP) or TOGAF are a plus ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.