Sr. Engineering Manager Job in Ness Digital Engineering

Job Title: Sr. Engineering Manager - Data Engineering

Level: L5

Experience: 13-16 years

Overview

We are seeking an experienced Engineering Manager with a strong background in Data Engineering, including ETL/ELT processes and cloud-based data platforms such as Snowflake. The ideal candidate will lead and mentor a team of data engineers, drive data architecture initiatives, and work closely with cross-functional stakeholders to ensure our data infrastructure supports evolving business needs.

Key Responsibilities

• Team Leadership: Lead, mentor, and develop a high-performing data engineering team, fostering a culture of collaboration, innovation, and continuous learning.
• Data Pipeline Development: Oversee the design, development, and maintenance of robust ETL/ELT pipelines to ingest, transform, and process data at scale.
• Cloud Data Infrastructure: Drive the architecture and implementation of cloud-based data solutions, especially leveraging Snowflake, ensuring scalability, security, and reliability.
• Cross-Functional Collaboration: Partner with product managers, analysts, data scientists, and other business stakeholders to gather requirements and prioritize engineering efforts that deliver the most impact.
• Architecture and Design: Develop and enforce data architecture standards for high-performance data warehousing, ensuring seamless data integration across diverse sources.
• Performance Optimization: Identify and resolve performance bottlenecks, focusing on query optimization, cost management, and resource efficiency.
• Data Quality & Governance: Define and implement data quality frameworks and governance practices, ensuring data consistency and reliability across all pipelines.
• Innovation & Strategy: Stay informed on emerging data technologies and industry best practices, continuously improving processes and aligning solutions with long-term data strategies.

Required Skills

• 8+ years of hands-on experience in data engineering, including 5+ years in a leadership role.
• Strong expertise in ETL/ELT processes and hands-on experience with tools like Talend, Informatica, or similar platforms.
• Deep proficiency in Snowflake or comparable cloud data platforms such as Redshift or BigQuery.
• Advanced SQL skills, including query optimization, performance tuning, data modeling, and schema design.
• Hands-on experience with Python or Java for data processing and automation.
• Knowledge of data governance, compliance standards, and data security best practices.
• Excellent communication and project management skills, with the ability to prioritize and manage multiple projects in parallel.

Preferred Skills

• Exposure to Big Data technologies such as Spark, Hadoop, Databricks, Synapse, etc.
• Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions.
• Familiarity with CI/CD pipelines and DevOps practices within data engineering.
• Experience working with BI tools like Tableau or Power BI, and reporting integrations.