Sr. Cloud Data Systems Engineer

Our client, a financial institution, is seeking a Sr. Cloud Data Systems Engineer .

Location: Conshohocken, PA

Position Type: Full Time

Job Description

• We're looking to grow our elite technology team of collaborative and talented disruptors!
• The right candidate will get in on the ground floor of building a big data architecture that includes using leading-edge innovation for fueling rapid business growth.
• You will help us define world-class cloud based data architecture, with open source software, and bleeding-edge data trends and technologies in the cloud environments of Microsoft Azure and AWS.
• You'll also embrace the massive and awesome undertaking of putting order to data, so that it can be used successfully.
• This role isn't just about data, it's about helping small businesses by using data predicatively, in real-time to assess and reach them even before they have critical funding needs.
• Only experienced data professionals and passionate candidates with a proven track record of top performance, who are entrepreneurial and innovative with a willingness to work in a flat organizational structure should apply.

As a Senior Cloud Data Systems Engineer, you will

• Assist in building a world class scalable cloud based data management architecture
• Design, provision, administer and provide operational support for cloud based data services that fuel our data platform, and analytics including but not limited to: Azure SQL Data Warehouse, Azure HD Insight (Hadoop), Azure Machine Learning, Azure Data Lake Analytics, Azure Data Lake Store (HDFS), Azure Logic Apps, Azure Data Factory, AWS Amazon RDS for SQL Server, and AWS Amazon Redshift
• Architect and implement cloud storage solutions which are amenable for the different types of data we collect
• Integrate data services with various cloud based Application and external data sources into Azure
• Design, build and automate the building and deployment of data services across all our data environments within Azure & AWS utilizing automation frameworks (Puppet, Chef, Powershell , etc ) and cloud templates
• Analyze complex systems to determine performance bottlenecks, application bugs, and opportunities to improve efficiency
• Optimize various types of data stores to accommodate large data volumes and high throughput processing
• Design and build an enterprise class monitoring and administration framework for everything data
• Capture and analyze database activity to identify improvements in indexing, partitioning, sharding , file structure, and maintenance processes
• Monitor and scale out our data services infrastructure and services
• Integrate new data and big data management technologies and software engineering tools
• Guide our data architecture through enterprise class expertise in data modeling for transactional systems
• Closely partner with business, software development, and data engineer team members to architect scalable solutions with streaming data, restful API's, and batch processes
• Design and automate testing for continuous delivery, performance, load, and stress testing
• Design and secure data services based on Information Security needs and provision and maintain role based data access
• Be ahead of the industry by researching new techniques and technologies to stay ahead of the curve on advanced analytic and predictive capabilities
• Be Agile and ready to do what it takes to make data awesome

The Ideal Candidate will be

• Inquisitive: You want to know why, diving into the unknown is fun...You blurt out your preposterous ideas because you're that excited about them
• Analytical: You want to know how things work...You took your phone apart and rebuilt it...Calculus is cool
• Passion for Data: You're fascinated by data, unstructured data and big data sets don't faze you... You're trying to find new ideas, relationships or interesting facts
• Action Oriented: You want to act, not wait -to get something done, and add value...You're not satisfied with the status quo, you try new things and you expect to fail sometimes, but you know you will learn from it
• Bold: Big, undefined problems are what get you up in the morning and solutions wake you from a deep sleep

Qualifications for success

• Minimum of Bachelor's Degree Required with at least 5 years' working experience in Computer Science, Management Information Systems, etc.
• At least 3 years' experience required in administering and tuning of relational data platforms (SQL, Postgres)
• At least 3 years' experience with tuning Linux, Unix, and Windows platforms for data services
• At least 2 years' experience required in administration of Big Data technologies, such as Hadoop, SPARK or other MPP or NOSQL based data platform such as Redshift, Mongo, Cassandra, etc.
• At least 2 years' experience required in administration and deployment of a Cloud based environment such as AWS, and/or Microsoft AZURE
• At least 2 years' experience required with an object-oriented language (e.g., Java, C#, C++, Python) or Functional/Procedural programming language (C, Perl, Java Script, Scala, Spark) and API based services
• Experience that will put you ahead of the curve:
• DevOps related experience
• Network and Server administration
• Data Modeling within a Big Data Environment or Data Warehouse Environment
• Strong written and verbal communication skills required with an ability to simply explain complex information