| Senior Big Data Architect-16+ - Local to Washington DC, Maryland at Washington, DC, USA |
| Email: [email protected] |
| From: Sandeep, Key Infotek [email protected] Reply to: [email protected] Main information: Job title: Senior Big Data Architect Job type: Contract / C2C (temporary) On-site/Remote: On-site Locals required: yes Location: OCTO - 200 I Street, SE, Washington, District Of Columbia 20003, US Job industry: Public Sector and Government Job category: IT, Computer & Mathematical Requirements: Minimum education: Bachelor Degree required: Bachelors degree in IT or related field or equivalent experience Special examinations / certificates: Databricks Certified Data Engineer Professional is highly desired. Years of work experience: 16 year(s) Responsibilities: Veteran Firm Seeking a Senior Big Data Architect for Onsite Assignment in Washington, DC We are looking to hire a Senior Big Data Architect for the DC government's Office of the Chief Technology Officer (OCTO). The ideal candidate has 16+ years of experience planning, coordinating, and monitoring project activities in an enterprise environment, 5+ years of knowledge of Big Data, Data Architecture, and Implementation best practices, and 5+ years of expertise in Data-centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, and Oracle. If youre interested, I'll gladly provide more details about the role and further discuss your qualifications. Position 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 Databricks, Microsoft Azure platform tools (including Data Lake and Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, and 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. Position Responsibilities: Coordinates IT project management, engineering, maintenance, QA, and risk management. Plans, coordinates, and monitors project activities. Develops technical applications to support users. Develops, implements, maintains, and enforces documented standards and procedures for assigned systems' design, development, installation, modification, and documentation. Provides training for system products and procedures. Performs application upgrades. Performs monitoring, maintenance, or reporting on real-time databases, real-time network and serial data communications, and real-time graphics and logic applications. Troubleshoots problems. Ensures project life-cycle follows District standards and procedures. General skills (must have): Experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes 5 year(s) of experience Knowledge of modern Big Data and Data Architecture and Implementation best practices 5 year(s) of experience Knowledge of architecture and implementation of networking, security and storage on cloud platforms such as Microsoft Azure 5 year(s) of experience Experience with deployment of data tools and storage on cloud platforms such as Microsoft Azure 5 year(s) of experience Knowledge of Data-centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, Oracle 5 year(s) of experience Experience querying structured and unstructured data sources including SQL and NoSQL databases 5 year(s) of experience Experience modeling and ingesting data into and between various data systems through the use of Data Pipelines 5 year(s) of experience Experience with API / Web Services (REST/SOAP) 3 year(s) of experience Experience with complex event processing and real-time streaming data 3 year(s) of experience Experience with deployment and management of data science tools and modules such as JupyterHub 3 year(s) of experience Experience with ETL, data processing, analytics using languages such as Python, Java or R 3 year(s) of experience 16+ yrs planning, coordinating, and monitoring project activities 10+ years of experience 16+ yrs leading projects, ensuring they are in compliance with established standards/procedures 10+ years of experience General skills (nice to have): Experience with Cloudera Data Platform 3 year(s) of experience Language skills (must have): English Native or bilingual proficiency Experience required: - **Minimum Education/Certification Requirements:** Bachelors degree in Information Technology or related field or equivalent experience **Skills Matrix:** **Skill** | **Required/ Desired** | **Years** 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 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 JupyterHub | 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 Experience with Cloudera Data Platform | Highly desired | 3 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 Bachelors degree in IT or related field or equivalent experience | Required Additional job information: - - **The target annual salary** is $131,000-$141,000. - **The role is onsite** at OCTO - 200 I Street, SE Washington DC 20003, therefore candidates must live in the DMV. Date information: Start date: 10/01/2024 Job duration: 12 months (expected) Hours per week: 40 Vendor information: Work permits accepted: - US citizen - Green card - Green card-EAD - TN - H-1B Work permit: Other W-2 employment at vendor: not required Interview: Phone or video call Required: - Candidate name - Email address - Work authorization - Candidate location - CV - Bill rate - Vendor note - Phone number - Availability to start - Availability to interview Keywords: quality analyst rlang information technology trade national Tennessee Senior Big Data Architect-16+ - Local to Washington DC, Maryland [email protected] |
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| Thu Sep 12 03:03:00 UTC 2024 |