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Data Architect

Convosight

Remote · location unlistedJobPosted 2mo agoStill listed 4 days ago

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At a glance

Compensation
No compensation found
Location
Remote · location unlisted
Work Authorization
Not specified

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Job overview

Convosight seeks a Data Architect to design and implement robust data solutions, optimize SQL performance, and ensure governance across cloud platforms. The role involves building data models, pipelines, and warehouses while collaborating with stakeholders to align architecture with business needs.

Skills & qualifications

RequiredNice to have

Skills

ScalaArtificial IntelligencePythonDatabase Arch/DesignMicroservices ArchitectureData LakeMachine LearningAdvanced SQLDimensional ModelingAWS RedshiftAWS S3 GlueAzure SynapseAzure Data FactoryGCP BigQueryGCP DataflowSparkHadoopKafkaSnowflakeDatabricksAirflowDbtFivetranGDPRSOC2Master Data ManagementAPIData MeshData Lake HouseAWS/GCP/Azure Data Architecture Certification

Qualifications

5+ Years Data Architecture Experience

Full job description

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).

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