Data Architect

Convosight • Marketing & Sales AI • Social Media Analytics & Listening • Python • SQL • Scala • ETL/ELT • Fivetran • Azure Data Factory • Dimensional Modeling • Master Data Management • 3 days ago
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Salary
≈ $29k – $56k per year (Estimated)
Location
Remote (India)
Seniority
Staff · 5+ years exp

First seen by Alion on Oct 23, 2026.

Overview
Company
Impact
Profile match

Convosight

ConvoTrack is an AI-powered social intelligence platform that analyzes social media conversations, videos, and images for crucial consumer insights, helping brands make data-driven marketing and content decisions.
convosight.com • HQ: Gurgaon, India • Social Media Analytics & Listening • Marketing & Sales AI • 51-200 employees • Est. 2017
Tech stack of Convosight
Backed by Qualgro

Own the end-to-end data architecture design, build, and govern scalable data systems that power analytics, ML, and business decisions across the org.


Requirements:

  • 5+ years in data architecture/data engineering, with at least 2+ years in an architect or lead capacity.
  • Strong SQL: advanced query optimisation, indexing, partitioning strategies.
  • Data modeling dimensional modelling (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 in 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.


Nice-to-Have (Differentiators):

  • Certifications: AWS/GCP/Azure data architecture certs.
  • Experience in a high-growth startup (built systems from scratch, not just maintained legacy).
  • Exposure to real-time/streaming architecture (Kafka, Kinesis, Flink).

Skills

AWS, Azure, GCP, SQL, Snowflake, data architecture, data engineering

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