Senior Associate Engineer - Data

SENIOR ASSOCIATE DATA ENGINEER

The Senior Associate Data Engineer is a critical member of the engineering team, responsible for designing, building, and maintaining robust data systems and infrastructure. This role focuses on enabling efficient data processing, collection, storage, and analysis at scale to support data‑driven decision‑making and operational optimization.

• Build, Orchestrate and optimize data pipelines to extract, transform, and load (ETL) data from various sources into the organization's data warehouse or data lake.
• Integrate data from diverse sources such as databases, APIs, streaming platforms, and file systems into cohesive data pipelines.
• Implement data integration solutions that support real‑time, batch, and incremental data processing.
• Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data.
• Develop and maintain high‑performance data pipelines that seamlessly integrate data from various sources into data warehouses, data lakes, and other storage solutions.
• Develop monitoring and alerting mechanisms to identify and address data quality issues proactively.
• Optimize ETL (Extract, Transform, Load) processes for efficiency, reliability, and data quality.
• Implement and manage data storage solutions, including relational databases, No
  
  SQL databases, and distributed file systems.
• Manage the infrastructure and resources required to support data engineering workflows, including compute clusters, storage systems, and data processing frameworks.
• Implement security controls and data governance measures for an application to protect sensitive data and ensure compliance with regulatory requirements such as GDPR, CCPA, HIPAA, and PCI‑DSS. Implement encryption, access controls, and auditing mechanisms to safeguard data privacy and integrity.

A relevant bachelor's or master's degree in computer science, Data Engineering, or a related technical field.

• Databricks (PySpark, Delta Lake, Unity Catalog)
• Azure Data Services (Data Lake, Data Factory, Synapse, Purview, Key Vault)
• SQL & Python for data engineering and analytics
• Data modeling (dimensional, relational, and modern lakehouse)
• Data governance & security (row-/column-level security, masking, tokenization)
• ETL/ELT pipeline design and orchestration
• Working knowledge of Power BI

• Requirements gathering and documentation (BRDs, user stories, acceptance criteria)
• Participation in workshops with business and IT stakeholders to capture next steps and action items

• Understanding of data product principles and domain‑driven design concepts

• 4+ years of experience in a data engineering role, with a focus on building scalable, reliable, and high‑performance data systems with Snowflake
• Proven track record of designing and implementing data pipelines, data storage solutions, and data processing workflows.
• Hands‑on experience with distributed computing frameworks and cloud‑based data services.
• Demonstrated ability to collaborate with cross‑functional teams and communicate technical solutions effectively.
• Ability to travel to other offices or client locations as needed.
• Strong communication skills
• Fluency in English
• Client‑first mentality
• Intense work ethic
• Collaborative spirit and problem‑solving approach

Candidates must possess or be able to obtain work authorization for their intended country of employment.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.