Senior Data Platform Engineer/Data Architect
First seen by Alion on Jul 25, 2026.
About the role:
We are looking for a Senior Data Platform Engineer to design, build, and operate enterprise-scale data platforms and analytical repositories. You will work with cross-functional teams to deliver data warehouses, data marts, operational data stores, and reporting repositories that support business analytics and data products.
Responsibilities:
- Architect and deliver enterprise-scale data platforms and analytical repositories (data warehouse, data marts, ODS).
- Design and implement ETL/ELT pipelines for batch and near-real-time data ingestion.
- Develop and tune complex SQL (queries, stored procedures) and implement performance improvements (indexing, partitioning, query refactoring).
- Manage relational database platforms (SQL Server, PostgreSQL, Oracle, MySQL) and recommend appropriate technologies for scale and cost.
- Implement cloud-based data solutions and migrate/operate data workloads on AWS/Azure/GCP managed services.
- Establish metadata management, data governance, lineage, and data quality practices.
- Integrate data from APIs, monitoring tools, cloud platforms, and ITSM systems.
- Create technical designs, runbooks, and collaborate with BI, analytics, and infra teams.
- Mentor junior engineers and participate in architecture reviews.
Required qualifications:
- 8+ years in database architecture, engineering, or data platform roles.
- Strong SQL skills and experience with at least two of: SQL Server, PostgreSQL, Oracle, MySQL.
- Hands-on experience designing data warehouses, marts, and ODS.
- Experience with ETL/ELT tools and data pipeline frameworks.
- Familiarity with cloud data services (specify AWS/Azure/GCP).
- Strong analytical, troubleshooting, and stakeholder management skills.
Preferred qualifications:
- Experience with streaming technologies (Kafka).
- Knowledge of metadata/governance tools (Collibra, Alation).
- Certifications in cloud or database platforms.
Skills
Data Engineering, Data Architect, ETL, Data Pipeline, SQL Server, PostgreSQL, Data Warehousing, Datamart