Cloud Data Architect Lead
2 days ago
About Senior Cloud Data Engineer
As a key member of our team at HexaCorp, you will play a pivotal role in designing and implementing robust data solutions for our clients. You will lead a team of data engineers to deliver high-quality data pipelines and data lakes, ensuring seamless integration with various data sources and business intelligence platforms.
Key Responsibilities
- We are seeking an experienced cloud data engineer to design and implement scalable and efficient data architectures, including data warehouses, data lakes, and data marts.
- You will be responsible for defining data models, schemas, and metadata standards.
- Collaborate with data analysts and business stakeholders to understand data requirements and translate them into technical specifications.
- You will design and develop complex data integration pipelines using ETL/ELT tools (e.g., Informatica, Talend, Azure Data Factory, AWS Glue, Google Data Fusion).
- Extract, transform, and load data from various sources (e.g., databases, APIs, files) into target systems.
- Implement data quality checks and monitoring processes to ensure data accuracy and consistency.
- Leverage cloud platforms (Azure, AWS, GCP) to build and deploy data solutions.
- You will utilize cloud-native data services (e.g., Azure Data Factory, AWS Glue, Google Data Fusion) for efficient data processing.
- Lead and mentor a team of data engineers.
- Assign tasks, provide guidance, and review deliverables.
- Foster a collaborative and innovative team culture.
- Interact with clients to understand their business needs and translate them into technical solutions.
- Presents technical concepts to both technical and non-technical audiences.
- Stay up-to-date with the latest trends and technologies in data engineering and cloud computing.
- Continuously improve skills and knowledge through training and certifications.
Requirements
- 9+ years of experience in data warehousing, data lakes, data integration, and ETL/ELT processes.
- Strong proficiency in at least one leading ETL/ELT tool (e.g., Informatica, Talend, Azure Data Factory, AWS Glue, Google Data Fusion).
- Experience with cloud platforms (Azure, AWS, GCP) and cloud-native data services.
- Solid understanding of data modeling, data warehousing concepts, and data quality principles.
- Proficiency in SQL and scripting languages (Python, Scala, etc.).
- Experience with data visualization tools (Power BI, Tableau, Looker).
- Strong problem-solving and analytical skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
The estimated salary for this position is $175,000 - $225,000 per year, depending on location and experience.
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