Data Architect

Armakuni; Ahmedabad District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Armakuni is seeking a skilled data architect to develop and maintain the data architecture strategy, ensuring alignment with business objectives. The successful candidate will be responsible for creating data models, designing databases, and integrating data from various sources.

Ideal applicants will have significant experience in SQL, cloud platforms, and big data technologies, along with a solid understanding of data governance frameworks.

Qualifications

• 7 to 15 years of experience in data architecture or related roles.
• Proficiency in SQL and various database management systems.
• Experience with big data technologies and cloud platforms.

Responsibilities

• Develop and maintain a comprehensive data architecture strategy.
• Create and manage logical, physical, and conceptual data models.
• Design and implement database solutions and data integration.

Skills

SQL

Database management

Data integration tools

Cloud platforms

Big data technologies

Tools

MySQL

PostgreSQL

Oracle

SQL Server

Hadoop

Spark

Kafka

Airflow

AWS

Azure

Google Cloud

Informatica

Talend

FiveTran

Meltano

Snowflake

Redshift

Synapse

BigQuery

Job description

Responsibilities

• Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape.
• Data Modeling: Create and manage logical, physical, and conceptual data models to support various business applications and analytics.
• Database Design: Design and implement database solutions, including data warehouses, data lakes, and operational databases.
• Data Integration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes.
• Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, consistency, and security.
• Technology Evaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes.
• Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the world’s leading brands.
• Documentation: Create and maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces.
• Performance Tuning: Optimize database performance through tuning, indexing, and query optimization.
• Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA).

Requirements

• Helping project teams with solutions architecture, troubleshooting, and technical implementation assistance.
• Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Minimum 7 to 15 years of experience in data architecture or related roles.
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka, Airflow).
• Expertise with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Knowledge of data integration tools (e.g., Informatica, Talend, FiveTran, Meltano).
• Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experience with data governance frameworks and tools.