Associate Architect - Data

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If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Associate Architect - Data (Snowflake)

Experience Level: 8 to 10 Years 

Work location: Mumbai, Bangalore & Trivandrum 

Notice Period: 0-15 days

Role & Responsibilities: 

• Design and develop data warehouse solutions using Snowflake Data Platform on Azure.

• Lead the development of data pipelines and orchestration using Azure Data Factory (ADF) for data ingestion, cleansing, and transformation.

• Implement robust error handling, alerting, re-set and re-try logic, pipeline management, and monitoring within ADF.

• Implement incremental data loading using CDC and watermark-based methods.

• Apply best practices in Snowflake Administration & Optimization, including secure data access and governance.

• Translate detailed business requirements into technical data solutions, collaborating with architects.

• Lead, mentor, and conduct code reviews for Junior Data Engineers.

• Design cohesive, end-to-end data processes, considering the big picture.

• Utilize Azure Data Platform services including Azure Data Lake Storage (ADLS), Azure Key Vault, and Snowflake on Azure , etc.

• Develop and optimize complex SQL queries.

• Implement CI/CD pipelines using Azure DevOps, understanding Git and branching models.

• Knowledge on financial processes such as budgeting, forecasting, financial reporting, accounts payable/receivable, general ledger, and treasury operations, and relevant financial regulations.

• Apply strong understanding of core financial concepts, accounting principles (GAAP/IFRS), and financial statements (P&L, Balance Sheet, Cash Flow), with familiarity in Sage Intact GL, SkyGen, and ClearWater.

•  Lead requirement gathering efforts with stakeholders and teams, and drive collaborative project execution. Assist in development and developing automated testing for data pipelines and data quality.

Skills expectation: 

• Snowflake Expertise: Expertise on Snowflake, including best practices in Administration & Optimization, and secure data access and governance.

• Data Warehouse Design and Development: Experience using Snowflake Data platform on Azure (Preferably).

• Data Pipeline Development & Orchestration: Expertise using ADF to ingest, cleanse, transform data, including robust error handling, alerting, re-set and re-try logic, pipeline management, and monitoring.

• Incremental Data Loading: Experience using CDC and watermark-based methods.

• Leadership & Mentorship: Ability to lead, mentor, and conduct code reviews for Junior Data Engineers.

• Technical Solution Design: Ability to translate detailed business requirements into technical data solutions and design cohesive, end-to-end processes.

• Azure Data Platform Services: Experience with Azure Data Lake Storage (ADLS), Azure Key Vault, Azure Data Factory, Snowflake On Azure.

• SQL: Strong SQL skills.

• Python , Pyspark experience is good to have.

• Data Modeling: Strong Data Modeling skills for Data Warehouse and Data Marts.

• Azure DevOps: knowledge of Git and branching models. Understanding the capabilities and limitations of Azure Pipelines, Releases, and Environments. Hands-on expertise in building, configuring, and deploying continuous integration and continuous delivery pipelines.