Data Architect

Actively Reviewing

SourcingXPress

Bengaluru Full-Time 4–8 yrs exp Posted 1 hour ago · Apply by Sep 16, 2026

Job Description

Company: Convosight

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Series A

Industry: Information Technology

Salary Range: ₹ 10-35 Lacs PA

Job Description

We are seeking an experienced Data Architect to design, build, and scale modern data platforms that power analytics, business intelligence, and AI/ML initiatives. In this role, you will define the organization's data architecture strategy, build scalable and secure data ecosystems, and collaborate with engineering and business teams to deliver high-quality data solutions.

You will play a key role in designing cloud-native data platforms, optimizing data pipelines, implementing governance frameworks, and enabling data-driven decision-making across the organization.

Must-Have Skills

5+ years in data architecture / data engineering, with at least 2+ years in an architect or lead capacity
Strong 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