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Senior Technical Data Architect – Telco, Banking
SSC HR Solutions. Own the end-to-end data platform architecture and define technical standards for data engineering teams .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Data Architecture and Engineering, focusing on designing scalable, cost-effective data platforms and implementing robust ETL processes. Proficient in real-time and batch data processing, data governance, and multi-tenant solutions within the Telco or Banking sectors.
Highest-signal resume keywords
Data ArchitectureETLApache SparkApache KafkaLakehouse Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData WarehousingSQLBatch ProcessingStreaming ProcessingData GovernanceData LineageData QualityAccess ControlMulti-Tenancy
Tools & Technologies
Apache AirflowOpen Table FormatsQuery Engines
Industry Keywords
TelcoBankingData MeshData Product
Tech Stack
Tools & technologiesAirflowApacheETLKafkaSparkSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 7+ years of experience in Data Architecture / Data Engineering
- Strong hands-on experience with Data Architecture & Data Warehousing
- Experience with ETL
- Experience with Apache Spark
- Experience with Apache Kafka
- Experience with Apache Airflow
- Experience with Lakehouse Architecture
- Experience with 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
- Experience with Data Mesh or Data Product operating models (nice to have)
- Experience supporting multiple client deployments of the same data platform (nice to have)