Big Data Architect IT Consultant Master

Job Title: Big Data Architect, IT Consultant Master 

Position Summary

Dhaka Technologies Limited Company (DTLC) is hiring a Big Data Architect (IT Consultant Master) on behalf of the District of Columbia Office of the Chief Technology Officer (OCTO). The consultant supports the design, development, implementation, and maintenance of an enterprise Big Data solution as part of the OCTO Data Modernization Effort. This role provides expertise for a Big Data and Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including Internet of Things (IoT) and Smart City projects, the enterprise data warehouse, the open data portal, and data science applications. The architecture includes Databricks, Microsoft Azure platform tools such as Data Lake and Synapse, and data pipeline and ETL development tools such as StreamSets and Azure Data Factory. The platform is designed for District-wide use and integration with other OCTO enterprise data tools such as Esri, Tableau, MicroStrategy, API gateways, and Oracle databases. The selected consultant joins a collaborative senior data team supporting the District Chief Data Officer.

Key Responsibilities

• Coordinate IT project management, engineering, maintenance, quality assurance, and risk management.
  
• Plan, coordinate, and monitor project activities.
  
• Develop technical applications to support users.
  
• Develop, implement, maintain, and enforce documented standards and procedures for the design, development, installation, modification, and documentation of assigned systems.
  
• Provide training on system products and procedures.
  
• Perform application upgrades.
  
• Perform monitoring, maintenance, and reporting on real-time databases, real-time network and serial data communications, and real-time graphics and logic applications.
  
• Troubleshoot problems.
  
• Ensure that the project life cycle complies with District standards and procedures.
  

Required Skills and Experience

• 16+ years planning, coordinating, and monitoring project activities
  
• 16+ years leading projects and ensuring compliance with established standards and procedures
  
• 5+ years implementing modern Big Data storage and analytics platforms such as Databricks and data lakes
  
• 5+ years of knowledge of modern Big Data and data architecture and implementation best practices
  
• 5+ years of knowledge of the architecture and implementation of networking, security, and storage on cloud platforms such as Microsoft Azure
  
• 5+ years of operations experience for data platforms such as Databricks, including runtime, warehousing, pipelines, auditing, sharing, cost management, and user management
  
• 5+ years deploying data tools and storage on cloud platforms such as Microsoft Azure
  
• 5+ years of knowledge of data-centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, and Oracle
  
• 5+ years querying structured and unstructured data sources, including SQL and NoSQL databases
  
• 5+ years modeling and ingesting data into and between data systems through data pipelines
  
• 3+ years with API and web services (REST and SOAP)
  
• 3+ years with complex event processing and real-time streaming data
  
• 3+ years deploying and managing data science tools and modules such as notebooks and R
  
• 3+ years with ETL, data processing, and analytics using languages such as Python, Java, or R
  

Desired Qualifications

• Databricks Certified Data Engineer Professional certification (highly desired)
  
• 2+ years deploying apps, gateways, agents, and models on data platforms such as Databricks (nice to have)
  

Education

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

Work Requirements

• This contract is open to W2 or 1099 candidates only. Corp-to-Corp (C2C) candidates will not be considered.
  
• The final interview will be conducted in person.
  

How to Apply

Qualified candidates should email their resume to

talent@dhakatech.us