Infovision Solutions
Senior Cloud ETL Architect
- Compensation
- Not disclosed
- Location
- Pune; Bangalore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Architecture
- Posted
Skills
Full description
**Role : SENIOR CLOUD ETL ARCHITECT
ROLE SUMMARY : **
Seeking Senior Cloud ETL Architect (10+ yrs) to lead enterprise data warehouse & ETL platform design on Azure, AWS, GCP. Architect end-to-end data integration solutions, lead presales/RFP initiatives, and mentor delivery teams. Proven experience with ADF, Synapse, Snowflake, Python, SQL, data warehouse design, and enterprise governance frameworks.
KEY RESPONSIBILITIES :
- Design & own ETL/ELT architecture (Azure Data Factory, AWS Glue, Databricks, Synapse).
- Lead presalesRFP responses, technical proposals, client workshops, CXO engagement.
- Architect enterprise DWH (Kimball, Data Vault, dimensional modeling).
- Define data governance, compliance, metadata management, data lineage.
- Design CI/CD, monitoring, observability for data pipelines.
- Mentor data engineers, establish architectural standards, build accelerators.
REQUIRED QUALIFICATIONS :
- 10+ yrs data engineering/architecture.
- 3+ yrs senior architect/tech lead.
Super Mandatory Skills :
- Presales/RFP (RFP responses, technical solutioning).
- Enterprise solutioning (multi-cloud strategy).
- Cloud platforms (Azure, AWS, GCP).
- ADF or equivalent ETL (Azure Data Factory, AWS Glue).
- SQL/T-SQL (advanced data modeling, optimization).
- DWH design (Kimball, Data Vault, enterprise warehouse architecture).
- Advanced SQL (T-SQL, PL-SQL, PySpark SQL).
- Python & PySpark for transformations.
- RDBMS (Oracle, MSSQL, PostgreSQL, MySQL).
- Data modeling (dimensional, hierarchies, SCD).
- Data governance, GDPR/HIPAA compliance.
- Azure DevOps, Terraform, CI/CD pipelines.
PREFERRED QUALIFICATIONS :
- Kafka/streaming (Event Hubs, Kinesis).
- Power BI semantic modeling.
- Azure certifications (DP-203, AZ-305).
- Consulting/practice delivery background.
- Databricks, Snowflake, dbt expertise.
TECHNICAL STACK : Azure Data Factory, Azure Synapse, AWS Glue, Databricks, Snowflake, Python, PySpark, SQL, Terraform, Azure DevOps, Power BI, Kafka.