MUST Be local to DC, VA, MD
Big Data Architect IT Consultant Master (808984)
Work Location : OCTO - 200 I Street, SE Washington DC 20003 – Onsite
Description:
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.
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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
Skill | Required /Desired | Amount | Consultant Experience |
Experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes | Required | 5 | |
Knowledge of modern Big Data and Data Architecture and Implementation best practices | Required | 5 | |
Knowledge of architecture and implementation of networking, security and storage on cloud platforms such as Microsoft Azure | Required | 5 | |
Experience with operations (runtime, warehousing, pipelines, auditing, sharing cost management, user management) for data platforms such as Databricks | Required | 5 | |
Experience with deployment of data tools and storage on cloud platforms such as Microsoft Azure | Required | 5 | |
Knowledge of Data-centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, Oracle | Required | 5 | |
Experience querying structured and unstructured data sources including SQL and NoSQL databases | Required | 5 | |
Experience modeling and ingesting data into and between various data systems through the use of Data Pipelines | Required | 5 | |
Experience with API / Web Services (REST/SOAP) | Required | 3 | |
Experience with complex event processing and real-time streaming data | Required | 3 | |
Experience with deployment and management of data science tools and modules such as Notebooks and R | Required | 3 | |
Experience with ETL, data processing, analytics using languages such as Python, Java or R | Required | 3 | |
Databricks Certified Data Engineer Professional | Highly desired | 0 | |
16+ yrs planning, coordinating, and monitoring project activities | Required | 16 | |
16+ yrs leading projects, ensuring they are in compliance with established standards/procedures | Required | 16 | |
Bachelor’s degree in IT or related field or equivalent experience | Required | 0 | |
Experience deploying apps, gateways, agents and models on data platforms such as Databricks | Nice to have | 2 | |
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