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Techsa

Senior Technical Data Architect

Posted a month ago
Worldwide
5-10 years experience
cloud architecture data-engineering
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AI Summary

The Senior Technical Data Architect will own the end-to-end data platform architecture, including data storage, processing, and governance. They will collaborate with cross-functional teams to translate business requirements into scalable, reliable, and production-ready technical solutions.

This is a remote position.

We are looking for a Senior Technical Data Architect to join our team and take ownership of key areas within our technology and data platform. Owns the technical data architecture end to end: how data lands, is stored, processed, served, and governed. Sets the standards the data engineering team builds against.

Key Responsibilities

• Own and deliver solutions within the scope of the role, from requirements and technical/design decisions through implementation and continuous improvement.
• Work closely with engineering, product, data, design, and business stakeholders to translate requirements into practical, scalable solutions.
• Apply strong engineering and/or domain expertise to build reliable, maintainable, and production-ready capabilities.
• Contribute to architecture, standards, documentation, quality, and technical decision-making appropriate to the role.
• Identify performance, scalability, data quality, usability, reliability, or operational risks and address them proactively.
• Collaborate across teams to ensure solutions integrate effectively with existing systems and platform components.


Requirements

• 7+ years of relevant professional experience.
• Strong hands-on experience with: Data architecture, ETL, Data warehousing, Spark, Kafka, Airflow, Lakehouse design, SQL.
• Real ownership of data platform architecture, not pipeline delivery alone.
• Hands on across both batch and streaming processing.
• Lakehouse architecture, open table formats, and query engines.
• Real time serving and OLAP stores.
• Standards for pipelines, schema evolution, data quality, lineage, and access control.
• Self managed and on premises infrastructure rather than managed cloud services.
• Has designed for scale, cost, and multi tenancy and can explain the trade offs.

Domain Requirement:
• Telco or Banking is a must

Preferred Qualifications
• Data mesh or data product operating models.
• Experience supporting multiple client deployments of the same platform.


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