DC - OCTO Big Data Architect IT Consultant Master (808984)

Client: State of DC - OCTO

Remote

Due - 9/22

Rate - $75-80/hr c2c

In person interview

No H1/CPT/OPT

No GC below 15+ years of exp

The DC Office of the CTO seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the OCTO Data Modernization Effort. This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications. This is an exciting opportunity to work as a part of a collaborative senior data team supporting DC's Chief Data Officer.

This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory). The platform will be designed for District wide use and integration with other OCTO Enterprise Data tools such as Esri, Tableau, MicroStrategy, API Gateways, and Oracle databases and integration tools.

CONTRACT JOB DESCRIPTION Responsibilities:

1. Coordinates IT project management, engineering, maintenance, QA, and risk management.
2. Plans, coordinates, and monitors project activities.
3. Develops technical applications to support users.
4. Develops, implements, maintains and enforces documented standards and procedures for the design, development, installation, modification, and documentation of assigned systems.
5. Provides training for system products and procedures.
6. Performs application upgrades.
7. Performs, monitoring, maintenance, or reporting on real-time databases, real-time network and serial data communications, and real-time graphics and logic applications.
8. Troubleshoots problems.
9. Ensures project life-cycle is in compliance with District standards and procedures.

Minimum Education/Certification Requirements:

Bachelor's degree in Information Technology or related field or equivalent experience

Required / Desired Skills

Required / Desired

• Experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes 5 Years
• Knowledge of modern Big Data and Data Architecture and Implementation best practices 5 Years
• Knowledge of architecture and implementation of networking, security and storage on cloud platforms such as Microsoft Azure 5 Years
• Experience with operations (runtime, warehousing, pipelines, auditing, sharing cost management, user management) for data platforms such as Databricks 5 Years
• Experience with deployment of data tools and storage on cloud platforms such as Microsoft Azure 5