Cybersecurity Data Architect – Cloud & Big Data (Onsite)
Apex Systems
Chicago (IL)
Hybrid
USD 130,000 - 160,000
Full time
14 days+
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Benefits offered by this job
Medical, dental, vision insurance
401K with company match
Employee Assistance Program with counseling
On-demand training program and certification prep
Discounts on various services
Job summary
A leading technology consulting firm seeks a Senior Data Architect responsible for designing secure and scalable architecture solutions. You'll work with cross-functional teams to align data-centric security measures with business needs while educating data management teams on data architectural principles. Ideal candidates will have expertise in cloud platforms, data fabric technologies, and a strong understanding of cybersecurity principles, along with practical experience in ETL/ELT processes and data governance standards.
Qualifications
5+ years proven experience as a Data Architect or similar role.
In-depth understanding of data security, data privacy, and data governance concepts.
Experience working as part of an Agile team.
Responsibilities
Design secure and scalable architecture solutions.
Work closely with cross-functional teams.
Educate data management teams on architectural principles.
Skills
Cloud platforms expertise (AWS, Azure, GCP)
Data fabric technology (Starburst)
Open Cybersecurity Schema Framework (OCSF)
Data modeling tools (SAP PowerDesigner, Erwin Data Modeler)
SQL skills
Python skills
Excellent problem-solving skills
Strong communication skills
Project management experience
Hands-on experience in ETL/ELT
Education
Bachelor’s or master’s degree in computer science, IT or related field
Tools
Python (Jupyterlab, PyCharm)
Hadoop
Spark
SQL Server
MongoDB
Informatica
Tableau
Job description
A leading technology consulting firm seeks a Senior Data Architect responsible for designing secure and scalable architecture solutions. You'll work with cross-functional teams to align data-centric security measures with business needs while educating data management teams on data architectural principles. Ideal candidates will have expertise in cloud platforms, data fabric technologies, and a strong understanding of cybersecurity principles, along with practical experience in ETL/ELT processes and data governance standards.