About the job

Must-Have Skills

- 5+ years in data architecture / data engineering, with at least 2+ years in an architect or lead capacity
- Solid SQL — advanced query optimization, indexing, partitioning strategies
- Data modeling — dimensional modeling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design
- Cloud data platforms — hands-on with AWS (Redshift, S3, Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow)
- Big data ecosystems — Spark, Hadoop, or Kafka for large-scale/streaming data
- Data warehousing — Snowflake, Redshift, BigQuery, or Databricks
- ETL/ELT pipeline design — Airflow, dbt, Fivetran, or similar orchestration tools
- Data governance & security — data lineage, access control, compliance (GDPR/SOC2),



master data management

Strongly Preferred

- Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows)
- Programming — Python or Scala for pipeline development
- API/microservices architecture exposure — understanding how data systems integrate with application layers
- Experience with data mesh / data lake house architectures
- Prior experience presenting architecture decisions to leadership/stakeholders

Skills:- Data architecture, SQL, Data Modelling, Big Data and ETL

📌 Data Architect (India)
🏢 Hashone Careers
📍 India