Who We Are
In today’s work environment, employees use a myriad of devices to access IT applications and data over multiple networks to stay productive, wherever and however they work. Ivanti elevates and secures Everywhere Work so that people and organizations can thrive.
While our headquarters is in the U.S., half of our employees and customers are outside the country. We have 36 offices in 23 nations, with significant offices in London, Frankfurt, Paris, Sydney, Shanghai, Singapore, and other major cities around the world.
Ivanti’s mission is to be a global technology leader enabling organizations to elevate Everywhere Work, automating tasks that discover, manage, secure, and service all their IT assets. Through diverse and inclusive hiring, decision-making, and commitment to our employees and partners, we will continue to build and deliver world-class solutions for our customers.
Our Culture - Everywhere Work Centered Around You
At Ivanti, our success begins with our people. This is why we embrace Everywhere Work across the globe, where Ivantians and our customers are thriving. We believe in a healthy work-life blend and act on it by fostering a culture where all perspectives are heard, respected, and valued. Through Ivanti’s Centered Around You approach, our employees benefit from programs focused on their professional development and career growth.
We align through our core values by locking arms in collaboration, being champions for our customers, focusing on the outcomes that matter most and fighting the good fight against cyber-attacks. Are you ready to join us on the journey to elevate Everywhere Work?
Why We Need you!
Ivanti IT is seeking a primary data architect and practitioner to lead IT and non-IT data engineers.
Hands-on Enterprise Data Architect for a growing company with many data needs. Influence and define corporate Data Lake, Data Mart, and Data Warehouse practice. Administer existing data flows and resource managers, and prescribe current and future data flows based on corporate Data Lake and Data Warehouse practice.
Support inhouse and external ML/AI models.
Administer and enhance current procedures, ETL, views, and other data mechanics hands-on. Manage folks who help with the same.
What You Will Be Doing
Work with proprietary technologies like ADF, Snowflake, S3, SQLServer, FiveTran, ODATA, SAP CDS Views scripting, Informatica, other.
To Be Successful In The Role, You Will Have