Big Data Architect

Salary depends on experience
Posted on 03/21/18
Arlington, VA
Salary depends on experience
Posted on 03/21/18

Responsibilities

  • Partners with the Business Analyst to understand the organization challenges and pain points, desired business outcomes and provides technical feasibility insight and solution options to develop a product backlog.
  • Defines the technical solution vision and is able to clearly communicate this to both business (end user) audiences and technical (development team) audiences.
  • Works with an agile development team to provide technical leadership during solution design and development.
  • Designs conceptual, logical and physical data models.
  • Leads data integration design, advising clients on the appropriate data platforms and tools, automation of workflows, error handling and data quality frameworks ensuring a viable solution maintenance model.
  • Acts as a technical escalation point for the team.
  • Able to deliver simple to complex end-to-end analytics solutions on-time, on-budget, and with a high level of quality.
  • Uses each member of the assigned development team efficiently by assigning each member tasks that correlate to their experience and expertise and growing team skillsets.
  • Mentors developers that are learning new skills during the project.
  • On boards new development resources into the development team.
  • Follows, and enforces, industry and Excella standards and best practices.

Qualifications

Technical:

 

  • Proven experience delivering modern analytics solutions using relational DBMS and NOSQL data platforms.
  • Proficient working with Data Integration Tools (e.g. Talend, SSIS, Pentaho, Informatica).
  • Experience designing and deploying solutions using dimensional data models (aka Star Schema).
  • Proficiency in at least one scriptinglanguage (e.g. Python, Java)
  • Experience working with large data volumes (millions, billions+).
  • Expert in use of SQL, including performance tuning queries, use of explains plans, partitions, hints etc.
  • Experience deploying solution in a Cloud environment such as AWS or Azure.
  • Proficient in implementing automated testing techniques.
  • Familiarity with DevOps concepts and tools.

 

Non-Technical:

 

  • Strong interpersonal and verbal communications skills
  • Prior consulting experience with direct client interaction is preferred.
  • Self-motivated and self-managing.
  • Expert in identifying and communicating scope changes.
  • Expert in educating and mentoring production staff on technical issues - will be asked to mentor developers.
  • Able to lead small IT teams (5-10 IT professionals).
  • Expert in creating reasonable and accurate time estimates for assigned tasks.
  • Expert in interviewing and assessing new developer candidates.
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