Senior Technical Data Architect
Techsa- Location
- Remote
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 8d ago
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.
Skills
- ETL
- Spark
- Kafka
- Airflow
- SQL
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