Data Architect @ Exponentia Datalabs

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Data Architect

Exponentia Datalabs
10 - 15 years
Mumbai
5 months ago
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Job Description

Key Responsibilities:

Architecture & Design
Design scalable, high-performance, cloud-native data architectures using Azure Data Lake, Azure Synapse, and Databricks.
Develop high-level and low-level architecture documents (HLD/LLD) for modern data platforms.
Define data models using star and snowflake schemas, optimizing for analytics and query performance.
Data Engineering & ETL
Lead the development of ETL/ELT pipelines using Azure Data Factory, PySpark, Spark SQL, and Databricks.
Manage ingestion of structured and semi-structured data from diverse sources to Azure-based data lakes and warehouses.
Implement real-time data pipelines using Azure Event Hubs and Structured Streaming.
Governance & Security
Define and implement data governance frameworks including lineage, cataloging, access controls, and compliance (e.g., GDPR).
Collaborate with MDM and governance teams using tools like Informatica AXON and EDC.
Performance Tuning & Optimization
Drive cost-efficient architecture design with partitioning, caching, indexing, and cluster optimization.
Monitor and troubleshoot data pipelines using Azure Monitor, Log Analytics, and Databricks tools.
Stakeholder Engagement
Collaborate with data scientists, analysts, business stakeholders, and DevOps teams to deliver robust, scalable data platforms.
Conduct design reviews and training sessions to support platform adoption and knowledge sharing.

Roles & Responsibilities

Key Skills & Technologies:

Cloud Platforms: Azure (ADF, ADLS, Azure SQL, Synapse, Databricks), AWS (S3, RDS, EC2)

Big Data: Spark, Delta Lake, PySpark, Hadoop

ETL Tools: Azure Data Factory, Informatica, IBM DataStage

Data Modeling: Star, Snowflake, SCD, Fact & Dimension Tables

Programming: Python, PySpark, SQL, Shell Scripting, R

Visualization Tools: Power BI, Tableau, Cognos

Data Governance: Informatica MDM, AXON, EDC

Certifications Preferred:

Microsoft Certified: Azure Data Engineer Associate

Databricks Data Engineer Associate / Professional

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Exponentia Datalabs
Location(s): Mumbai

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Keyskills: Azure Databricks Data Governance Azure Data Lake

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Exponentia Datalabs

Exponentia DataLabs Exponentia DataLabs provides intelligent products/platforms capable of automated cognitive decision making to improve productivity, quality and economics of the underlying business processes.

Data Architect @ Exponentia Datalabs

Home > Data Science & Machine Learning

Data Architect

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