Data Architect Innovation Lead
2 weeks ago
At Data Pilot, we're more than just a data product development and consulting services company – we're your strategic partner on the journey from data to decisions. Our mission is simple: to help businesses unlock the full potential of their data assets and maximize business value through our expert engineering and business acumen.
In today's fast-paced business environment, organizations are increasingly relying on data-driven insights to inform their decision-making processes. However, this demands a robust and scalable data infrastructure that can support advanced analytics, machine learning, and AI workloads. As an Associate Data Architect at Data Pilot, you will play a pivotal role in designing and implementing cutting-edge data architectures that empower our clients to make informed decisions based on real-time and batch analytics.
Key Responsibilities:
- Design end-to-end data architectures for various data engineering and analytics projects, incorporating principles of medallion and lakehouse models to support real-time and batch analytics.
- Construct scalable data pipelines using ETL tools, Python scripting, and SQL to extract data from disparate sources, transform it to meet business needs, and load it into a centralized data warehouse, ensuring data quality and accessibility.
- Leverage cloud computing platforms (AWS, GCP, Azure) to build secure, efficient, and scalable data infrastructures that support complex data analysis and reporting.
- Develop in-depth knowledge of data warehouse concepts to design and optimize data storage solutions that support advanced data analytics and reporting.
- Collaborate with the data science team to facilitate the development and deployment of machine learning models, providing technical expertise to guide project approaches and outcomes.
Qualifications:
- Minimum Bachelor's degree in computer science or a related field.
- 4-5 years of experience in data engineering, analytics, and data science, with a significant focus on data architecture and pipeline development.
- 2-3 years of hands-on experience with at least two major cloud platforms (AWS, GCP, Azure) and a solution architect certification in one of these platforms.
- Deep understanding of data warehouse concepts and experience in designing data warehousing solutions.
- Proficiency in ETL tools, Python scripting, and SQL.
- Knowledge of Spark and Databricks is highly desirable.
- Experience in building and deploying machine learning models is highly desirable.
- Strong analytical and problem-solving skills and the ability to work collaboratively with cross-functional teams.
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