Data Architect

2 weeks ago

Delhi, Delhi, India Reve 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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