Data Architect(ServiceNow)

Position: Data Architect (Servicenow)

Position Type: W2-Contract

Duration: 12 Months

Locations: Chicago, IL or Denver, CO & Washington, DC ( Strongly prefers Washington, DC)

5 days onsite 

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.

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 (Google Cloud Platform)
• Hands on experience working with or implementing data fabric technology (Starburst)
• Working knowledge of the Open Cybersecurity Schema Framework (OCSF)
• Bachelor’s or master’s 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 Power Designer, 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