Reve - Data Architect

2 weeks ago

Delhi Division, India Reve.cloud Full time

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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