JMAN Group - Technology/Principal Architect - Python/Spark

Job Description specification : - Minimum 12 years of experience as a Principal/Data Architect or similar role, with proven expertise in developing and implementing Data & Analytics strategies. - Strong understanding and experience with modern data warehouse / Lakehouse solutions like Databricks, Snowflake, Redshift, Synapse, and proficiency in cloud platforms such as AWS, Azure preferred. - Thorough grasp of data governance and security principles, along with experience in data pipelines and ETL/ELT tools, including Databricks, dbt, Azure Synapse. - Excellent communication, collaboration, and problem-solving skills are essential. - Proficiency in Apache Spark, SQL or Python programming languages, knowledge of data patterns, data modelling i.e., Data Vault, and product migration. - Good to have skills include data visualization using Power BI, Tableau, or Looker, and familiarity with full-stack technologies. - Familiarity with AI/ML platforms and data preparation for ML initiatives is a plus. Responsibilities : - Develop and implement a comprehensive data strategy aligned with business objectives. - Design and architect a modern data platform using cloud technologies (e.g., AWS, Azure, GCP). - Lead in architecting data landscapes that to reflect data strategies including Data integration, transformation, governance, modelling, BI. - Build and manage a scalable, secure data warehouse / lakehouse leveraging modern solutions, including implementing data ingestion pipelines from disparate sources. - Implement CI/CD pipelines for data pipelines and infrastructure using DevOps tools and methodologies. - Design and implement the framework for data migration from legacy to modern cloud technologies. - Implement data governance and security best practices to ensure data quality, compliance, and manage metadata. - Collaborate with our global team to articulate the data & technology and empower our global team to understand the importance of technology on our solutions. - Collaborate with cross-functional teams to understand data needs, develop data models, and build analytics tools for reporting, analytics, and AI/ML initiatives. - Effectively communicate technology solutions to clients using clear and concise, non-technical language. - Lead the workshop with Clients location to assess the existing data & analytics and provide suitable solutions. - Design the frameworks and create products for delivery efficiency. - Stay updated on emerging data technologies, recommend innovations, and evaluate/recommend cloud data platforms. - Manage and lead a team of data engineers, providing guidance, monitoring end-to-end operational processes, and overseeing the development and maintenance of data pipelines to ensure quality, reliability, security, and scalability. - Diagnose existing architecture and data maturity, identifying gaps, proposing solutions, and implementing dimensional modelling and business domain conversion/Data Vault design Skillset : - ETL or ELT : Databricks / Azure Synapse / dbt / Fivetran (Anyone - Mandatory). - Data Warehouse / Lakehouse : Databricks / Snowflake / Fabric / Synapse (Anyone - Mandatory) - Cloud Experience : AWS / Azure / GCP - SQL and Apache Spark / Python programming languages - Data Visualization : Power BI / Tableau / Looker. (Anyone-Good to have). - Version control & Release management : GitHub / Azure DevOps / CI CD pipelines - Data Governance : Microsoft Purview / Atlan - Full stack technologies (Good to have) - Data Modelling : Data Vault, Dimensional modelling - AI/ML platforms (ref:hirist.tech)

Location: chennai, IN

Posted Date: 4/4/2025