| emote || W2 Contract Hiring|| IT Digital Transformation Data Engineer-Architect with higher education sector experience || Albany, NY at Albany, New York, USA |
| Email: [email protected] |
| From: Panchdev Pathak, Parin Technologies LLC [email protected] Reply to: [email protected] Please look at the below open requirement with one of our Clients and let me know your availability as soon as possible along with filling out the skill matrix mentioned below asap. IT Digital Transformation Data Engineer/Architect with higher education sector experience. 18 Months Contract Remote but client is located in Albany, NY. Rate is determined by experience Client is SUNY Data Engineer/Architect is needed to support the implementation of the new Digital Transformation initiative, a university-wide technology transformation initiative. Scope of Services: The Data Engineer/Architect will thoroughly assess data ecosystem to design an effective data architecture that aligns with the IT Digital Transformation Initiative, driving organizational efficiency, productivity, and profitability. They will engage in extensive research and meticulously gather requirements on and for all aspects of the current and future data infrastructure, including integrations points, data flow, data quality and integrity, security and privacy measures, data cataloging, and data lineage. They will collaborate closely with implementation leads to gain a deep understanding of their needs, goals, and challenges within the digital realm. They will develop and implement a comprehensive data architecture strategy and create detailed project plans that facilitate effective decision-making throughout the transformation journey. In addition to extensive experience in the higher education sector, the Data Architect should have the following qualifications: Deep proficiency in data warehousing technologies and data integration pipelines using both ELT and ETL processes Experience with data modeling, including schema design, data models, data flow diagrams, data dictionaries and metadata repositories Experience designing and building complex data solutions using both SQL and nonSQL databases Experience with Application Programming Interface (API) for custom workflows, microservices, and integration Familiarity with Data Hub, Data Lakehouse, Data Fabric, and Data Mesh concepts and hybrid (on premises + cloud) data infrastructures Knowledge with data science, machine learning, and statistical analysis techniques to build predictive models, perform advanced analytics, and derive actionable insights from data Experience and knowledge building Data Catalogs and Data Marts Strong programming skills in languages such as Python, R, or Scala as well as Java Experience collaborating with cross-functional teams to define data standards, guidelines, and best practices Knowledge of data governance, data security, and compliance standards. Creative problem-solving skills and strong analytical abilities Excellent communication skills with the ability to convey complex, technical information in an understandable manner Ability to logically troubleshoot issues, determine root causes, and present suggested solutions clearly and concisely Familiarity with data visualization tools (e.g., Tableau, Power BI), and data pipelines that incorporate them Familiarity with AI capabilities across various LLMs and some experience in integration of Data Hub/Lake with AI tools. The Data Architect will evaluate crucial aspects of data ecosystem, including : Business Goals and Objectives Data Requirements and Needs Current Data Infrastructure Data Sources and Integration Points Data Quality and Integrity Data Governance and Compliance Security and Privacy Measures Data Lifecycle Management Metadata and Cataloging Scalability and Performance Data Architecture design and models Regulatory and Industry Compliance Additionally, they will: Support the Senior Project Director and Implementation Leads with project plans, deliverables, and project artifacts Support the Business Analysts and Implementation Leads with project plans, deliverables, and project artifacts Maintain project library of project plans, deliverables, and project artifacts Identify areas for project improvements and efficiencies Prepare artifacts and presentations for governing bodies as defined in the Governance Management Plan The ideal candidate will possess an impressive track record with over 10 years of extensive experience in the higher education sector, coupled with 15-year tenure as a seasoned Data Architect. This candidate brings a wealth of knowledge, and a deep understanding of the unique data needs and challenges faced by educational institutions. With a focus on digital transformation, they are adept at aligning data ecosystems to drive organizational efficiencies, productivity, and cost reallocation. This candidates expertise extends to leveraging cloud SaaS for data lake or data hub implementations, ensuring advances to the forefront of modern data management practices. Their strategic mindset, collaborative approach, and proficiency in cloud technologies make them an asset in digital evolution. Working closely with the implementation leads, senior project directors, and business analysts, they craft comprehensive project plans and deliverables. Proactively identifying opportunities for enhancement, this candidate continues to contribute to ongoing success in the digital landscape. Their extensive experience in higher education uniquely positions them to navigate the complex data landscape within an educational context. Current Technical Environment for this position: **Relational Database for Homegrown Enterprise Business Systems: ** Our homegrown enterprise business systems rely on a [Specify Database System] as the relational database backbone. The database is designed to meet the specific needs of our in-house business applications. Data Warehouse:** on-premises: Oracle data warehouse. data models predominantly follow the star schema design Data Ingestion & Exportation: ** Data ingest pipelines are primarily custom-built using Java code & SFTP. We employ various formats for data transfers, including TXT, CSV, JSON, and XML. APIs **Visualization Tools: ** Dashboards & Reports are primarily created using OBIEE (Oracle). On-prem Tableau for visualization needs PowerBI is available, however its not currently being used **Visualization Tools: ** Dashboards & Reports are primarily created using OBIEE (Oracle). On-prem Tableau for visualization needs Keywords: artificial intelligence business intelligence rlang information technology New York |
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| Tue Nov 28 01:34:00 UTC 2023 |