Data Architect for Cutting-Edge Data Infrastructure
6 days ago
Elevon Core is a dynamic and ambitious organization that thrives on innovation and excellence.
We are seeking an exceptional Data Architect to play a pivotal role in designing, building, and maintaining our cutting-edge data infrastructure.
This is a unique opportunity for a highly skilled professional to lead the development of our data architecture, ensuring seamless integration, scalability, and reliability across our entire data ecosystem.
- About the Role:
As a key member of our team, you will be responsible for architecting and implementing robust data solutions that enable our organization to make informed, data-driven decisions.
You will lead the design and implementation of scalable data pipelines, develop and maintain data models, and ensure the highest standards of data quality and governance.
In addition, you will work closely with cross-functional teams to understand their data requirements and provide strategic guidance on data management and analytics.
- Responsibilities:
- Design and implement data architectures that meet business requirements and technical specifications.
- Develop and maintain data models, schemas, and structures that support data analysts, data scientists, and other stakeholders.
- Create and optimize data pipelines for ingesting, processing, and transforming data from various sources.
- Ensure data quality, integrity, and security through robust data governance policies and procedures.
- Collaborate with cross-functional teams to understand data requirements and provide strategic guidance on data management and analytics.
- Maintain thorough documentation of data engineering processes, data models, and data dictionaries.
Requirements:
- Bachelor's degree in computer science, information technology, or a related field (master's degree is a plus).
- Demonstrable experience of minimum 8 years, with at least 5 years in a leadership position as a Senior Data Engineer or similar, with a portfolio of projects; 10 years of experience in data engineering with a focus on designing and implementing data lakes, data warehouses, data modelling, ETL processes, and data transformation pipelines.
- Experience in cloud-based data platforms (e.g., Spark, Azure Synapse Analytics, etc.).
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong knowledge of database systems (SQL and NoSQL), data warehousing, and big data technologies.
- Knowledge of data governance principles, data quality management, and regulatory compliance.
- Experience with orchestration services (i.e., Azure Data Factory (ADF), Azure Logic Apps, Azure Functions, Databricks Jobs, Airflow, etc.).
- Familiarity with data engineering integration tools and frameworks and ETL processes.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Excellent communication, leadership, and collaboration skills.
- Ability to work in a fast-paced dynamic environment and lead multiple projects and teams to deliver high-quality results.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge technology projects.
- Collaborative and innovative work environment.
- Professional growth and training opportunities.
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