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Reve - Data Architect

Reve - Data Architect

Reve.cloudDelhi
16 days ago
Job description

Key Responsibilities :

Data Architecture & Strategy :

  • Define and maintain the organizations data architecture blueprint, including data lakes, data warehouses, and streaming platforms.
  • Develop data models, schemas, and integration patterns that support business intelligence, analytics, and AI / ML initiatives.
  • Lead data modernization and migration initiatives (e.g., on-prem to cloud).
  • Align data architecture with enterprise IT strategies and business goals.

Data Engineering & Platform Design :

  • Oversee the design and implementation of ETL / ELT pipelines for ingesting, transforming, and storing structured, semi-structured, and unstructured data.
  • Ensure platforms support real-time, near-real-time, and batch data processing.
  • Define standards for data APIs, microservices, and integration with enterprise applications.

    • Governance & Compliance :

  • Establish data governance frameworks covering quality, security, privacy, and compliance (GDPR, HIPAA, etc.).
  • Define and enforce data lineage, cataloging, and stewardship practices.
  • Work with security teams to implement role-based access controls, encryption, and secure data sharing mechanisms.

    • Collaboration & Stakeholder Engagement :

  • Partner with business leaders, product managers, and analytics teams to translate

    • requirements into technical data solutions.

  • Work closely with data engineers, BI developers, and data scientists to enable advanced analytics and AI adoption.
  • Act as a subject matter expert on enterprise data architecture and best practices.

    • Performance & Optimization :

  • Ensure databases, warehouses, and data lakes are optimized for scalability, reliability, and Monitor data platform performance, troubleshoot bottlenecks, and recommend

    • improvements.

  • Evaluate and recommend emerging technologies in data management, AI-readiness, and cloud computing.

    • Required Technical Skills :

  • Data Modeling & Warehousing : Dimensional modeling, data lakes, data marts, star / snowflake schema design.
  • Databases : Strong knowledge of SQL and experience with RDBMS (Oracle, PostgreSQL,

    • MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).

  • Big Data & Processing : Hadoop, Spark, Databricks, Flink, Kafka.
  • Cloud Platforms : AWS (Redshift, Glue, S3, Lake Formation), Azure (Synapse, Data Factory,

    • ADLS), GCP (BigQuery, Dataflow, Pub / Sub).

  • ETL / ELT Tools : Informatica, Talend, Apache NiFi, dbt, Airflow.
  • BI & Analytics : Power BI, Tableau, Looker, Qlik (for enabling reporting and visualization).
  • Programming / Scripting : SQL, Python, PySpark, Scala, Shell scripting.
  • Data Governance Tools : Collibra, Alation, Apache Atlas, Informatica Data Governance.
  • APIs & Integration : Experience with REST, GraphQL, and event-driven architectures

    • (ref : hirist.tech)

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    Data Architect • Delhi