
Chief Data Architect
2 weeks ago
We are passionate about crafting world-class UX/UI solutions for global clients. Our team is now building our data capabilities to empower decision-making, drive product insights, and enable smarter business outcomes.
This is a mid-level role ideal for someone who has worked on end-to-end data engineering projects and is eager to grow with a company where ownership, innovation, and resourcefulness matter more than hierarchy.
The successful candidate will be responsible for designing, building, and maintaining efficient data pipelines.
They will collaborate closely with engineering, product, and business teams to ensure data is clean, reliable, and accessible for analytics, reporting, and product innovation.
Key Responsibilities:- Build and maintain data pipelines (ETL/ELT) to move data from multiple sources into data stores/warehouses.
- Collaborate with cross-functional teams to define data requirements, models, and metrics.
- Manage and optimize data storage solutions.
- Ensure data quality, validation, and governance across all pipelines.
- Implement automation, monitoring, and alerting for data workflows.
- Support business intelligence, dashboards, and analytics use cases.
- Work on API integrations and structured/unstructured data ingestion.
- 3–5 years of experience in data engineering / backend development.
- Proficiency in SQL and Python (or equivalent programming language).
- Hands-on experience with ETL frameworks.
- Good understanding of data warehousing concepts, schema design, and optimization.
- Exposure to cloud platforms or open-source alternatives.
- Ability to work independently, prioritize tasks, and deliver in a lean setup.
- Strong problem-solving mindset and a passion for building scalable systems.
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