Posting record
Open 10+ days
- Ssc Hr's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Ssc Hr, so its true age is longer.
Last checked Nov 4, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 7+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Senior Technical Data Architect
We are looking for a Senior Technical Data Architect to own the technical data architecture end to end, defining how data is ingested, stored, processed, served, and governed across the data platform.
The role is responsible for setting the technical standards and architectural direction that data engineering teams build against, with a strong focus on scalability, reliability, performance, data quality, and maintainability.
Key Responsibilities
- Own the end-to-end data platform architecture and define technical standards for data engineering teams.
- Design and implement batch and real-time/streaming data architectures .
- Define Lakehouse architecture , open table formats, and query engine solutions.
- Design real-time data serving and OLAP solutions.
- Establish standards for ETL pipelines, schema evolution, data quality, data lineage, and access control .
- Design scalable, cost-effective, and multi-tenant data platforms .
- Work with self-managed and on-premises infrastructure.
- Collaborate with data engineering and technical teams to ensure architecture standards are properly implemented.
Requirements
- 7+ years of experience in Data Architecture / Data Engineering.
- Strong hands-on experience with:
- Data Architecture & Data Warehousing
- ETL
- Apache Spark
- Apache Kafka
- Apache Airflow
- Lakehouse Architecture
- SQL
- Strong understanding of batch and streaming processing .
- Experience with open table formats and query engines .
- Strong knowledge of data governance, lineage, quality, and access control.
- Experience designing systems for scale, cost optimization, and multi-tenancy .
- Telco or Banking experience is mandatory.
Nice to Have
- Experience with Data Mesh or Data Product operating models .
- Experience supporting multiple client deployments of the same data platform .
Something wrong with this posting?