As a Chief Data Architect, you will play a pivotal role in designing and implementing cutting-edge data solutions that drive business growth and innovation. Your expertise in architecting scalable and high-performance data pipelines using Databricks, Spark, and Python will be instrumental in shaping our organization's data strategy.
Key Responsibilities:
* Developing and maintaining robust data architectures to support strategic business initiatives
* Designing efficient and scalable ETL processes to ingest, transform, and load data from various sources into cloud-based data lakes and warehouses
* Leveraging the Databricks ecosystem (SQL, Delta Lake, Workflows, Unity Catalog) to deliver reliable and performant data workflows
* Collaborating with cross-functional teams to integrate data-driven insights into decision-making processes
* Ensuring data quality through validation processes and adherence to data governance policies
You will work closely with data scientists and analysts to understand data needs and deliver actionable solutions. Your ability to communicate complex technical concepts to non-technical stakeholders will be essential in driving data-driven decision making across the organization.
Requirements:
* Expertise in data engineering and architecture
* Strong understanding of cloud-based data platforms and technologies
* Experience with Databricks, Spark, and Python
* Ability to design and implement scalable data pipelines
* Excellent communication and collaboration skills
We offer a dynamic and supportive work environment that fosters professional growth and development. If you are a motivated and talented data professional looking to make a meaningful impact, we encourage you to apply.
This role offers opportunities for professional growth, skill development, and career advancement in a fast-paced and innovative environment. You will have the chance to work on diverse projects, collaborate with experienced professionals, and contribute to shaping the future of data-driven business strategies.