Data Architect
External
Ndeavour · All CitiesPrepare for this interview
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About the role
We're looking for a Data Architect to define and evolve the data architecture that underpins our clients' most critical systems. This role blends deep technical expertise with strategic thinking, shaping data models, governance frameworks, and integration strategies that enable analytics, operational workflows, and advanced AI/ML capabilities. You will set the architectural vision, champion best practices across domains, and build trusted, scalable, business-aligned data platforms. This is a role for someone who thrives in complexity, sees clarity where others see chaos, and can design foundations that will support long-term innovation and growth.
Responsibilities
- Define the enterprise data architecture roadmap aligned with strategic business objectives.
- Champion best practices for data modelling, integration, governance, and metadata management across domains.
- Design canonical data models, entity relationships, and standards for schema evolution and semantic layers.
- Architect modern Lakehouse platforms using Databricks , Delta Lake , and Unity Catalog .
- Define ingestion and transformation patterns, including orchestration using tools such as Airflow .
- Implement bronze / silver / gold layering strategies for structured, trusted, and scalable data pipelines.
- Establish data lineage, quality frameworks, cataloguing, and compliance processes.
- Partner with engineering teams to integrate data into microservices and operational systems.
- Contribute to real-time and batch pipeline designs that support analytics and ML/AI use cases.
- Define and maintain data governance principles, security standards, and access controls.
- Lead adoption of Unity Catalog for centralized metadata and policy enforcement.
- Mentor senior engineers and act as a thought leader, influencing architecture and best practices across teams.
Requirements
- Proven experience architecting enterprise-scale data platforms (Lakehouse, data mesh, or hybrid).
- Strong expertise in Databricks , Delta Lake, Spark/PySpark , and orchestration tools like Airflow.
- Deep understanding of conceptual, logical, and physical data modelling.
- Strong knowledge of data governance, lineage, and data quality frameworks.
- Ability to design scalable real-time and batch data pipelines.
- Strong programming skills in SQL and Python for prototyping and validation.
- Familiarity with AWS data services (S3, Glue, Lambda, Redshift, Kinesis, Step Functions) is a plus.
- Excellent communication skills, able to translate architectural concepts for both technical and non-technical audiences.
- Experience mentoring engineers and guiding teams on architecture, standards, and data best practices.
Benefits
Additional Information
Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow. We value collaboration, technical excellence, and a pragmatic approach to solving complex problems.
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