Techsa
Senior Technical Data Architect
Remote Senior Technical Data Architect who owns the data platform architecture end to end — how data lands, is stored, processed, served, and governed — and sets the standards the data engineering team builds against. Core stack: Spark, Kafka, Airflow, SQL, ETL, data warehousing, and lakehouse design with batch and streaming.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Architecture
- Posted
Skills
Must have
- 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
- Telco or Banking domain experience
Nice to have
- Data mesh or data product operating models
- Experience supporting multiple client deployments of the same platform
Full description
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.