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TalentCrossData Architect Sr
TalentCross is recruiting a senior data architect for a fully remote role that works on Argentina time (ART). The client is an insurance company modernizing a…
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About This Role
TalentCross is recruiting a senior data architect for a fully remote role that works on Argentina time (ART). The client is an insurance company modernizing a data platform that runs on SQL Server, SSIS and SSAS, and is moving toward a modern cloud architecture. The target stack has not been chosen yet. The client already has AWS infrastructure, so the architect must weigh the options and recommend the best fit…
Job Description
TalentCross is recruiting a senior data architect for a fully remote role that works on Argentina time (ART). The client is an insurance company modernizing a data platform that runs on SQL Server, SSIS and SSAS, and is moving toward a modern cloud architecture. The target stack has not been chosen yet. The client already has AWS infrastructure, so the architect must weigh the options and recommend the best fit for the business.
The architect defines the target platform across ingestion, storage, transformation, serving and governance, and plans a phased migration away from the legacy stack. The job includes setting standards for modelling, data quality, lineage and governance, designing reusable pipeline and orchestration patterns, and deciding how to replace or evolve the SSAS semantic layer, including tabular cubes and MDX. The architect mentors the data engineer, reviews implementations, and keeps analytics such as reporting, churn models and segmentation running while the legacy system is still in use.
The posting asks for at least four years of hands-on data work, not just conceptual architecture, and proven experience with on-premises to cloud migrations. Productive Python and Airflow skills, strong Kimball dimensional modelling, and experience with a modern cloud warehouse such as Redshift, Snowflake, BigQuery or Synapse are required. Lakehouse knowledge with Databricks, Delta Lake or Iceberg is also needed, along with cloud security fundamentals such as IAM, encryption and role-based access.
The role is full-time, with an initial term of five months that may continue indefinitely, and pay is in US dollars. The posting asks for an immediate start.
Responsibilities
- Design the target data platform across ingestion, storage, transformation, serving and governance
- Plan a phased migration from SQL Server, SSIS and SSAS to cloud or lakehouse technology
- Set standards for modelling, data quality, lineage and governance
- Design reusable pipeline and orchestration patterns
- Define how the SSAS semantic layer will be replaced or evolved
- Translate business needs from client stakeholders into technical solutions
- Mentor the data engineer and review implementations
- Enable advanced analytics use cases such as churn models, segmentation and reporting
Requirements
- 4+ years of hands-on data experience
- Solid SQL Server and SSIS experience
- Proven record of data migrations from on-premises to cloud
- Productive Python and Airflow skills
- Strong dimensional modelling, particularly Kimball, and an understanding of one big table (OBT) designs
- Experience with a modern cloud data warehouse such as Redshift, Snowflake, BigQuery or Synapse
- Knowledge of lakehouse architecture with Databricks, Delta Lake or Iceberg
- Scalable, observable pipeline design
- Foundations of data governance, including quality, lineage and cataloging
- Cloud security basics: IAM, encryption and RBAC
- Ability to work with non-technical stakeholders and justify trade-offs
- Availability for fully remote work on Argentina hours
Qualifications
- Hands-on AWS experience with S3, Glue, Redshift, Athena, EMR and Lake Formation
- Experience building churn model pipelines, including feature engineering, training, scoring and monitoring
- dbt experience
- DataOps and CI/CD for data, including Git, Terraform and pipeline testing
- Streaming experience with Kafka or Kinesis
- AWS, Azure or GCP data certifications
- Experience replacing or modernizing SSAS or a semantic layer
- Experience with data catalogs, lineage tools and quality standards
- Technical English reading ability (not mandatory)
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is the role remote?
Yes, the role is 100% remote from any country and works on Argentina time (ART).
How is the role paid?
Pay is in US dollars. The posting does not state an amount.
How long is the contract?
The initial term is five months, with the possibility of continuing indefinitely.
What experience is required?
At least four years of hands-on data experience is required, and the posting specifically asks for practical rather than only conceptual experience.
Sample Interview Questions
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