Role : Big Data Architect IT Consultant Master

Client : State Of District Of Columbia(D.C)

Location : Washington, DC (onsite)

Job Description:

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), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, 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.

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

Job Type: Contract

Salary: $75.00 - $80.00 per hour

Schedule:

• 8 hour shift

Experience:

• providing administrative support in an IT environment: 3 years (Preferred)
• 16 plann, coordinate, monitoring project activities: 10 years (Preferred)
• leading projects, ensuring they are in compliance: 10 years (Preferred)
• Big Data storage: 5 years (Preferred)
• Databricks and Data Lakes: 5 years (Preferred)
• Knowledge of Big Data and Data Architecture: 5 years (Preferred)
• security,storage on cloud platforms such as Microsoft Azure: 5 years (Preferred)
• Knowledge of Data-centric systems for the analysis: 5 years (Preferred)
• visualization of data,Tableau, MicroStrategy, ArcGIS,: 10 years (Preferred)
• data sources including SQL and NoSQL databases: 5 years (Preferred)
• Data Pipelines,Spark, Sedona, Airflow, Atlas, NiFi, Hive: 5 years (Preferred)
• API / Web Services (REST/SOAP: 3 years (Preferred)
• h deployment and management of data science tools: 3 years (Preferred)
• ETL, data processing, analytics using Python, Java or R: 3 years (Preferred)
• Cloudera Data Platform: 3 years (Preferred)

Work Location: In person