Data Architect - Indexnine Technologies : Job Details

We are seeking a visionary Data Architect to lead the data engineering practice within ourproduct engineering services. This role involves defining best practices for building data lakand warehouses, identifying cutting-edge tools and platforms for exploration and adoption, anddriving architectural decisions for data engineering projects. The ideal candidate will shape ourstrategy and guide our teams in delivering scalable, future-ready data solutions.

• Design and implement the overall data architecture strategy, including data models, dataintegration patterns, and data governance frameworks.
• Develop and maintain enterprise data standards, policies, and procedures to ensure dataconsistency, quality, and compliance across the organization.
• Design and oversee the implementation of data integration solutions, including ETL/ELTprocesses, data pipelines, and real-time data streaming architectures.
• Collaborate with data engineers to implement and optimize data storage solutions, including data warehouses, data lakes, and data marts.
• Work with security teams to implement data security measures, including dataencryption, access controls, and data masking techniques.
• Evaluate and recommend new data technologies and tools to enhance the organization'sdata capabilities.
• Provide technical leadership and mentorship to data engineers and other technical teammembers.
• Collaborate with business stakeholders to understand data requirements and translatethem into technical specification
• Develop and maintain documentation of data architecture, including data flow diagram entity-relationship diagrams, and system integration maps.
• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and industry standards.

• Bachelor's or Master's degree in Computer Science, Information Systems, or a relatedfield
• 7+ years of experience in data architecture or related roles.
• Strong understanding of data modeling techniques, including dimensional modeling and data vault modeling. Extensive experience with relational databases (e.g., Oracle, SQLServer, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience in designing and managing data pipelines that move data across differentlayers within Databricks. Experience with Azure ADLS Gen2 SDK for monitoring dataingestion and managing large data sets.
• Proficiency in data warehousing concepts and technologies (e.g., Snowflake, AmRedshift, Google BigQuery, Databricks-hosted data warehouse following a medallionarchitecture.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Familiarity with data integration tools and ETL/ELT processes. Understanding of data.governance principles and experience implementing data governance frameworks.
• Strong skills in SQL and at least one programming language (e.g., Python, Java, Scala).
• Experience with data visualization tools (e.g., Tableau, Power BI) and their architectural requirements.
• Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills.

• ● Experience with machine learning and AI architectures.
• Knowledge of graph databases and their applications.
• Familiarity with data mesh and data fabric concepts.
• Experience with real-time data streaming technologies (e.g., Kafka, Apache Flink).