Data Architect

Focus Area 1: Future State Data Architecture & Engineering

RD’s data landscape includes Structured Data, Semi-Structured Data, Unstructured Data and Geospatial Data. All of these data types must be considered in any efforts taken under this Focus Area.

Required Consultant tasks in this area may include requirements such as:

• Design of FEAF-consistent conceptual and logical data models for industry-focused business segments such as loan origination, loan servicing, or loan accounting; analysis of a current state risks and mitigation recommendations;

• Analysis and solution architecture recommendations for RD’s future state data management environment, RD Enterprise Data Complex (REDC), based on RD’s future state Data Architecture vision;

• Developing and implementing strategies for implementation of REDC, associated governance, and standard non-functional requirements for inclusion in various solicitations;

• Design and implementation of Master Data Management (MDM) governance;

• Analysis and solution architecture recommendations for a MDM platform;

• Analysis and solution architecture recommendations for EDW Platform Data Complex;

• Analysis and solution architecture recommendations, for Enterprise Reference Data Management Platform

• Develop architecture and framework for structured, semi-structured and unstructured data, data capture, data inclusion, augmentation of data sets that provide enhanced business insights and provide associated recommendations; and

• Address any previous findings regarding inconsistent data handling practices, duplications, errors, and areas that lack technology support.

• Develop enterprise data mapping that provides transparency for data lifecycle within RD's ecosystem and can be utilized in data triage, modernization, and data analytics initiatives.

This entails developing high-level depictions of the end-to-end data lifecycle at the RDenterprise level, enabling a visualization of both internal and external data interactions.

• Develop a data asset inventory and catalog that allows RD sub-agencies to understand data dependencies for their mission and automate data location searches either by people or by data processes. This entails developing a live inventory of key data assets through various

sources, capturing it in an agreed format and populating a data catalog with relevant metadata.

• Design and solution implementation for various data outputs for consumption by RD users, other USDA Mission Areas and/or other US Government Agencies. These outputs can take various forms such as formatted electronic reports, XML data sets, Comma Separated

data sets, or other Government to Government defined structures.

Focus Area 2: Future State Data Analytics and Visualization Development

Data analytics support focuses on facilitating, enhancing, or enabling data users to draw insights

from data by providing them with both facts and tools, and/or drawing the insights for them. RD’s

data landscape includes Structured Data, Semi-Structured Data, Unstructured Data and Geospatial

Data. All of these data types must be considered in any efforts taken under this Focus Area.

Required Consultant tasks in this area may include requirements such as:

• Discovery and communication of meaningful patterns and trends;

• Recommend, Design and/or Building simple-to-use models in which customers may select

data layers to visualize on a base map in various combinations; and

• Application of data science to select and combine appropriate datasets from a variety of

sources to create new insights (e.g., use of crop yield data to predict mortgages that may

become subject to risks).

Focus Area 3: Semi-structured Data and Unstructured Data Analysis, Design and Solution

Implementation

Required Consultant tasks in this area may include requirements such as:

• Providing analytic, design and implementation support services to develop solutions for

the management of unstructured and semi-structured information assets based on REDC.

• Providing analytic, design, solution recommendations, and implementation for digitizing

the entire document management lifecycle as RD systems and applications are modernized.

At a high level, this includes:

o Capture, identifying in-scope documents that are born digital and placing them

under formal management. May include the use of classification schemas

(taxonomy/ontology) and metadata;

o Manage, creating and applying business rules that make up enterprise standards.

May include versioning data for curation purposes, and access controls;

o Access, enabling internal and external users to continuously and reliably retrieve

managed documents within access guidelines, via a federated search capability and

a browse feature;

o Publish/Dissemination, ensuring the ability of document owners to proactively

distribute selected documents through digital or physical means;

o Archive/Preservation, ensuring appropriate long-term preservation of digital

documents in compliance with RD retention policies and NARA guidelines.

• Support integration and digitization of documents for Enterprise Content Management

(ECM)

Job Type: Contract

Salary: $133,431.08 - $160,691.20 per year

Schedule:

• Day shift

Ability to Relocate:

• Washington, DC 20007: Relocate before starting work (Required)

Work Location: In person