Azure Data Architect

Job title: Data Architect

Location- Fremont, CA (Remote is also fine)

Duration: Long Term.

Responsibilities

Hands on experience in HPC and Big Data (Hadoop based) platforms and in scoping latest hardware (cloud/on premise)

Design and implementation security systems and security technologies

Developing virtual private networks (VPNs), routers, firewalls, and related security and network topologies

Design of public key infrastructures (PKIs), including use of certification authorities (CAs)

Production support and maintenance of Active Directory Infrastructure.

Administration of DNS, DHCP

Iterate quickly through latest packages and R&D on latest information.

Work with Product Management and multiple business units for requirement gathering and iteratively refine architectural proposals

Support upstream and downstream use cases with integration with existing Big data ecosystem.

Desired Skills and Experience

Undergraduate/Ms degree in Computer Science or distributed systems

Experience with Linux based OSs such as CentOS, Redhat, Ubuntu

Experience working as infrastructure lead in Azure ecosystem

Experience in working with Microsoft Azure services and application architecture and strong knowledge about Even Hub, ADLS, Blob Storage, Data Factory, Data Bricks, SQL WH etc

Must have strong experience in Big Data, ETL design and development, methodologies, tools, processes and best practices

5 years experience in Java/C++/Object Oriented systems programming and/or python, shell scripting (e.g. bash, PowerShell)

Experience building and deploying enterprise scale applications, familiarity with GPU computing

Understanding of Machine learning, simulation, and massive parallel compute architectures

Performance analysis and optimization, experience architecting and deploying highly reliable systems (HA, ACID, guaranteed delivery etc.)

Experience with scalable computer architectures (on premise and cloud (private cloud e.g. Openstack))

Experience with distributed computing/storage technologies like Hadoop (Map/Reduce, HDFS, HBase, in memory compute etc.), containerization such as docker

Understand requirements and goals for distributed computing. Prior exposure to MOAB/SLURM and Cyclecloud strong plusses. Experience with InfiniBand and clustered file systems

Design the appropriate computing and storage architecture to meet the customer goals

Hands-on engagement in the build out and delivery of the architecture

Experience operating in a Hybrid cloud environment and connectivity, prior exposure to Azure IaaS or equivalent required