Partner Solutions Architect Big Data
Partner Solutions Architect Big Data
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
FEQ125R56
As a Partner Solutions Architect (PSA) for ANZ you will work withDatabricks Consulting and System Integrator (C&SI) partners teammates and with the technical and sales team members who work directly with our customers. You will develop technical champions within our top C&SI Partners providing enablement on technical matters related to the Databricks product. Working with our partners you will help our customers to achieve tangible datadriven outcomes through the use of our Databricks Lakehouse Platform helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team you will exercise and develop expertise in those areas using opensource projects such as Apache Spark MLflow and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.
The impact you will have:
- Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including handson Apache Spark programming and integration with the wider cloud ecosystem
- Engage with the partner technical community by leading workshops seminars and meetups
- You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
- Show expertise by producing creative technical solutions and blog posts
What we look for:
- 35 years of customer facing experience working with external clients or partners across a variety of industry markets
- Core strength in either data engineering or data science
- Experience demonstrating technical concepts including presenting and whiteboarding
- Experience developing architectures within a public cloud (AWS Azure or GCP)
- Hands on experience in SQL Python Scala or Java
- Expertise in at least one of the following:
- Data Engineering technologies (Ex: Apache Spark Hadoop Kafka)
- Data Warehousing (Ex: SQL OLTP/OLAP/DSS)
- Data Science and Machine Learning technologies (Ex: pandas scikitlearn HPO)
Employment Type
Full Time
