
Chief Data Solutions Architect
13 hours ago
As a technology consulting and delivery company, we partner with businesses to drive data-driven success.
We provide expert guidance and solutions in data analytics and cloud technologies. Our mission is to empower businesses to transform data into actionable insights, leverage the cloud for agility and scalability, and ultimately thrive in the digital age.
Job Overview:
- Lead the end-to-end migration of data warehousing and ETL processes from legacy systems to modern platforms.
- Design, develop, and implement highly efficient, scalable, and reliable ETL/ELT pipelines within a new environment.
- Optimize existing SQL workflows for performance and cost-efficiency on a cloud platform.
- Establish and enforce data quality, governance, and security standards within the new platform.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements and translate them into robust technical solutions.
- Develop best practices for data modeling, CI/CD, and version control for a new data platform.
- Mentor junior engineers and contribute to the continuous improvement of the data engineering practice.
- Troubleshoot and resolve complex data integration and data warehouse performance issues.
Requirements:
- 5–10 years of professional experience in data engineering, data warehousing, or a related field.
- Deep expertise in migrating data platforms from on-premises systems to cloud environments.
- Mandatory hands-on experience with data warehousing and ETL development.
- Expert-level proficiency in cloud data warehousing, including performance tuning and platform administration.
- Strong experience with data transformation, testing, and documentation using dbt.
- Exceptional proficiency in SQL and at least one programming language (Python is preferred).
- Experience with cloud services and setting up data ingestion from various sources.
- Excellent analytical, problem-solving, and communication skills.
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