Delivery Manager-Snowflake Data Engineer

Acuity Analytics; Gurugram District; On-site; INR 5,000,000 - 7,500,000; Full time

Job summary

Acuity Analytics is seeking a Snowflake‑certified Data Engineer to independently design, build, and optimize scalable data solutions across the enterprise. You will own complex data engineering initiatives end‑to‑end, ensuring performance, reliability, and alignment with business needs.

The role emphasizes Snowflake architecture, data modeling, and strong cloud ecosystem expertise. You will work with APIs, ETL tooling, and enterprise integrations in a fast-paced environment.

Qualifications

• Strong hands-on experience with Snowflake architecture, data modeling, and end-to-end pipeline development.
• Experience with Snowpipe, Streams, Tasks, Materialized Views, Clustering, and Time Travel.

Responsibilities

• Independently design and implement Snowflake databases, schemas, warehouses, RBAC, and workload management.
• Configure and optimize Snowpipe, Streams, Tasks, Materialized Views, Clustering, and Time Travel.
• Perform performance tuning and troubleshoot issues directly from the Snowflake portal.
• Design robust dimensional and normalized data models aligned with financial domain needs.
• Architect Medallion (Bronze–Silver–Gold) data layers for scalable pipelines.
• Ensure data quality, governance, and secure access patterns.
• Build and manage end-to-end pipelines using dbt, Python, and Airflow/ADF.
• Implement and maintain CI/CD workflows, code reviews, and automated deployments.
• Consume REST/SOAP APIs for data ingestion and integration.
• Connect Snowflake with enterprise systems (Salesforce, SAP, CRM/ERP).
• Integrate Snowflake with cloud-native services for ingestion, compute, and storage.
• Maintain high-performance, cost-efficient cloud data operations.
• Take complete ownership from design to deployment with minimal oversight.
• Work with architects and stakeholders to translate requirements into solutions.
• Produce high-quality documentation and reusable components.

Skills

Snowflake proficiency

SQL

Python

Airflow

dbt

CI/CD

APIs integration

Problem solving

Education

B.E./B.Tech/MCA/MBA in Information Systems or Computer Science

Tools

Snowflake

dbt

Airflow

Azure Data Factory

Salesforce/SAP CRM/ERP integrations

Job description

Job Description:

Job Purpose

We are seeking a highly skilled and Snowflake‑certified Data Engineer to independently design, build, and optimize scalable data solutions across the enterprise. The ideal candidate will have deep hands‑on expertise in Snowflake architecture, data modeling, and end‑to‑end pipeline development, along with a strong understanding of cloud data ecosystems, API integration, and enterprise data platforms. This individual contributor role requires a self‑driven engineer capable of owning complex data engineering initiatives end‑to‑end while ensuring performance, reliability, and alignment with business needs.

Key Responsibilities

• Independently design and implement Snowflake databases, schemas, warehouses, RBAC, and workload management.
• Configure and optimize Snowpipe, Streams, Tasks, Materialized Views, Clustering, and Time Travel.
• Perform performance tuning and troubleshoot issues directly from the Snowflake portal.
• Design robust dimensional and normalized data models aligned with financial domain needs.
• Architect and implement Medallion (Bronze–Silver–Gold) data layers for scalable pipelines.
• Ensure data quality, governance, and secure access patterns.
• Build and manage end‑to‑end pipelines using:
• dbt for transformations
• Python for automation
• Airflow/ADF for orchestration
• Implement and maintain CI/CD workflows, code reviews, and automated deployment processes.
• Consume REST/SOAP APIs for data ingestion and integration.
• Connect Snowflake with enterprise systems (Salesforce, SAP, CRM/ERP, cloud services).
• Integrate Snowflake with cloud‑native services for ingestion, compute, and storage.
• Maintain high‑performance, cost‑efficient cloud data operations.
• Take complete ownership of design, development, deployment, and support with minimal oversight.
• Work directly with architects, business analysts, and stakeholders to translate requirements into solutions.
• Produce high‑quality documentation, reusable components, and engineering best practices.

Key competencies

• Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
• 10–12 years of hands‑on data engineering experience, including a minimum of 6 years dedicated to Snowflake.
• Advanced expertise in Snowflake architecture, implementation, administration, optimization, and troubleshooting.
• Experience with Snowflake Data Sharing and Snowflake Marketplace for accessing, integrating, and managing third‑party and shared datasets.
• Strong knowledge of data modeling and Medallion Architecture.
• Proficiency in SQL, Python, and cloud ecosystem workflows.
• Hands‑on experience with dbt, Airflow, Azure Data Factory (ADF), or similar orchestration tools.
• Experience integrating REST/SOAP APIs and connecting Snowflake with enterprise platforms (CRM/ERP/SaaS systems).
• Strong exposure to Azure or AWS cloud data services.
• Experience working in the financial domain (preferred but not mandatory).
• Familiarity with CI/CD, Git workflows, automated deployments, and DevOps best practices.
• Strong problem‑solving skills, with ability to independently debug and resolve platform issues using Snowflake portal/console.
• Excellent communication skills, self‑driven attitude, and ability to work independently with minimal supervision.
• Snowflake Certification (e.g., SnowPro Core or Advanced Data Engineer).