Enterprise Big Data Architect

  • Full-time

Company Description

 

Are you interested in working with an energetic group of people? Looking for a fun and challenging environment where you are empowered to make decisions? Would you like the opportunity to progress within a growing, industry-leading company? If so, you've come to the right place.

Let Us Inspire You!

Who are we?

DFC has been helping people with their financial needs for over 25 years. Whether you need a payday loan, your check cashed, or simply need to wire some money, DFC is here to serve you.

For anyone interested in working within the financial services sector, DFC Global Corp. offers an excellent career path. We empower you to make decisions, foster career growth, and reward hard work.

What do you do?


The purpose of this position is, but is not limited to, strategically designing, developing, and implementation of a Big Data platform that supports the creation of a unified data platform, housing raw & refined data from various sources of record, enabling: lean, faster delivery of data, enhanced data management & engineering, advanced analytical capabilities (for power users and data scientists), maintaining metadata repositories & data lineage, mastering data. The intent of this position is to build a Big Data foundation that can be leveraged to build services on an ongoing basis, that support multiple business areas across the organization.

What do we need?

You to have an amazing personality and communication style.

That you are super-organized and are a problem solver.

That you take pride in everything that you do, and it shows.

And most importantly that you have unquestionable integrity.

Why work for us?

We invest in our employees, and offer extensive training, and development programs to set you up for future success.

If we sound like a fit, and you’re ready to start an exciting career with an organization that fosters employee growth, apply today!

 

 

 

 

 

 

Job Description

  • Develop and deliver long-term strategic goals for data architecture standards
  • Create short-term tactical solutions to achieve long-term objectives and data management roadmap
  • Establish processes for identification, collection, and use of corporate metadata; take steps to assure metadata accuracy
  • Create strategies and plans for data security; disaster recovery and total business continuity
  • Ensure the success of enterprise-level application roll-outs; connect vendors and providers to select products and services that meet the company’s goal
  • Assess and determine framework for managing data across the organization; oversee mapping of data sources, data movement, and analytics, with the goal of ensuring data quality; develop key components as needed to create testing criteria in order to guarantee the performance of data architecture; document the data architecture and environment in order to maintain a current and accurate view of the larger data picture
  • Evaluate new technologies and products, and research to identify opportunities that impact business strategy, business requirements and performance that can accelerate access to data and automate key data flows. e.g Advanced Machine Learning Technologies
  • Develop highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels
  • Analyze latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings, adopt and implement these insights and best practices

Qualifications

  • Work experience as a data or information architect for a minimum of 7-10 years 
  • Hands-on experience with data architecting, large-scale data modeling, and business requirements gathering/analysis
  • Direct experience in implementing enterprise data management processes, procedures, and decision support
  • Strong understanding of relational data structures, theories, principles, and practices
  • Strong familiarity with metadata management and associated processes
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies
  • Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on
  • Ability to manage data and metadata migration
  • Experience with database platforms, including MySQL, MS SQL Server and AWS Redshift
  • Understanding of Web services (SOAP, XML, UDDI, WSDL)
  • Experience in evolving/managing technologies/tools in a rapidly changing environment to support business needs and capabilities
  • Experience in conducting performance tuning of Hadoop clusters. Monitor and manage Hadoop cluster job, performance capacity planning, and security
  • Experience with data processing flow charting techniques
     

Additional Information

We offer a full benefit package, 401k matching, tuition reimbursement, free gym access, 12 paid holidays, paid time off, etc. 

All your information will be kept confidential according to EEO guidelines.