Senior Data Architect - Cyber Analytics virtual remote home office eligible

Profile

Description

The Senior Data Architect is responsible for developing blueprints for all data repositories, evaluating hardware and software platforms, and integrating systems. Translates business needs into long-term data architecture solutions. Defines, designs and builds dimensional database schemas. Evaluates reusability of current data for separate analyses. Conducts data sheering to rid the system of old, unused or duplicate data. Reviews object and data models and the metadata repository to structure the data for better management and quicker access. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.

Responsibilities

Required Qualifications


5 years of experience as a senior software engineer and architect for large IT projects
Experience with implementation of Event driven architecture such as Kafka, Streamsets, Airflow, Logstash, Spark
Big Data Integration & Analytics on a cloud platform preferably Azure: such as Azure Datalake, Event Hub, Splunk, Elasticsearch or similar technologies
Experience with one or more of the following SIEM tools such as Splunk , Sentinel and similar technologies.
Experience with one or more of the following programming languages ( Java, JavaScript, Python, Spark)
Knowledge of, and experience in Agile Scrum methodology as well as software development lifecycles in general
Experience authoring reference architectures and other engineering documentation
Understanding of JSON and RESTful service architectures.
Prior project architect and/or Lead Software Engineer experience
Experience delivering and deploying cloud native data solutions on one of the public cloud providers such GCP, Azure or AWS.


Preferred Qualifications


Bachelor's Degree
Azure or other big data certifications
Experience with complex technical environments
Experience in Process Automation, Machine Learning and Artificial Intelligence
Experience or knowledge of Product-oriented Design, Agile and DevOps methodologies


Scheduled Weekly Hours

40

Company info

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