Senior Data Manager

TekSynap•Reston, VA

About The Position

We are seeking a Senior Data Manager to join our Task Order proposal on the Defense Intelligence Agency’s Solutions for the Information Technology Enterprise III (SITE III). The Senior Data Manager is i nvolved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures. TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well planned information management environment. “Technology moving at the speed of thought” embodies these principles – the need to nimbly utilize the best that information technology offers to meet the business needs of our Federal Government customers. We offer our full-time employees a competitive benefits package to include health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time and holidays. Visit us a t www.TekSynap.com . Apply now to explore jobs with us! The safety and health of our employees is of the utmost importance. Employees are required to comply with any vaccination requirements mandated by contract, applicable law or regulation. By applying to a role at TekSynap you are providing consent to receive text messages regarding your interview and employment status. If at any time you would like to opt out of text messaging, respond "STOP". As part of the application process, you agree that TekSynap Corporation may retain and use your name, e-mail, and contact information for purposes related to employment consideration.

Requirements

Active TS/SCI + CI Poly clearance
BS, 12-15 years of relevant experience; MS, 10-12 years; PhD, 10+ years
U.S. Citizenship

Nice To Haves

Certified Data Management Professional (CDMP)
DAMA Data Management certification (equivalent credential)
ITIL® 4 Foundation
Certified Information Management Professional (CIMP)
TOGAF Foundation or Certified Architect
Collibra Data Governance Certification (if toolset applicable)
DCAM (Data Management Capability Assessment Model) training
Certified Information Systems Security Professional (CISSP)
Certified Information Security Manager (CISM)
Certified in Risk and Information Systems Control (CRISC)
Certified Authorization Professional (CAP)
AWS Certified Data Analytics – Specialty
AWS Solutions Architect – Associate or Professional
Microsoft Azure Data Engineer Associate
Microsoft SQL Server / Azure Database certifications
Lean Six Sigma Black Belt (Preferred)
COBIT 2019 Foundation or Design & Implementation
PMI Portfolio Management Professional (PfMP)

Responsibilities

Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
Handle processing and index requests against high-volume collections of data and high-velocity data streams.
Has the ability to make discoveries in the world of big data.
Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++).
Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST.
Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.
Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.
Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr.
Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc.
Experience with machine learning, algorithm analysis, and data clustering.