Senior Cloud Data Warehouse Engineer

NTT DATA, Inc.; Montreal; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading global technology firm in Montreal is seeking a Senior Cloud Data Warehouse Engineer. This role focuses on building a data platform using Snowflake and Python, contributing to the development and management of data warehouses and pipelines. Ideal candidates have extensive experience in data development, SQL, and cloud solutions. The position offers a hybrid work model, requiring in-office presence 3x/week.

Qualifications

• 10 years of experience in data development and solutions in complex data environments.
• 7 years of SQL / PLSQL experience with the ability to write complex queries.
• 5 years of experience with Snowflake data solutions.
• 3 years of data pipeline solutions using Python.

Responsibilities

• Design, develop, and manage the Snowflake data warehouse.
• Contribute to best practices for efficient usage of Snowflake.
• Assist with testing and deploying data pipelines.
• Monitor performance of queries and perform tuning.

Skills

SQL

Python

Data Warehousing

Snowflake

Airflow

Data Analysis

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

Airflow

DBT

Spark

Job description

Overview

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Cloud Data Warehouse Engineer to join our team in Montreal, Quebec (CA-QC), Canada (CA).

Location

Job Title: Senior Cloud Data Warehouse Engineer

Location: Montreal (day 1 onboarding onsite /in-office presence required 3x/week)

Role Summary

As a Senior Cloud Data Warehouse Engineer, you will be a member of the C3 Data Warehouse team with a focus on building our next-gen data platform used for sourcing and storing data from different technology systems across the firm into a centralized data platform that empowers various reporting and analytics solutions for the Technology Risk functions within Morgan Stanley. In this role you will be primarily responsible for contributing to the development of our Cloud Data Warehouse utilizing Snowflake and Python-based tooling. You will also be responsible for the design and development of our data warehouse utilizing Snowflake capabilities such as data sharing, time travel, Snow Park, workload optimization across analytic and AI use-cases, and the ingestion and storage of structured and unstructured data. You will also work on the integration of our Snowflake data warehouse with existing internal platforms for data quality, data cataloging, data discovery, incident logging, and metric generation. You will be working closely with data warehousing leads, data analysts, ETL developers, infrastructure engineers, and data analytics teams to facilitate the implementation of this data platform and data pipeline framework.

Key Responsibilities

• To design, develop, and manage our Snowflake data warehouse.


• To contribute towards the establishment of best practices for the optimal and efficient usage of Snowflake with tooling like Airflow, DBT and Spark.


• To assist with the testing and deployment of our data pipeline framework utilizing standard testing frameworks and CI/CD tooling.


• To monitor the performance of queries and data loads and perform tuning as necessary.


• To provide assistance and guidance during the QA & UAT phases to quickly confirm the validity of potential issues and to determine the root cause and best resolution of verified issues.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field required.


• At least 10 years of experience in data development and solutions in highly complex data environments with large data volumes.


• At least 7 years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.


• At least 5 years of experience with developing data solutions on Snowflake.


• At least 3 years of data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.


• At least 3 years of experience developing solutions in a hybrid data environment (on-Prem and Cloud)


• Hands on experience with Python a must.


• Hands on experience with Airflow (or similar tools like Dagster) a must.


• Snowflake SnowPro Core a must


• Snowflake SnowPro Advanced Architect and Advanced Data Engineer a plus.


• Hands on experience with DBT a plus.


• Experience with performance tuning SQL queries, Spark job, and stored procedures.


• An understanding of E-R data models (conceptual, logical, and physical).


• Understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal / Bi-Temporal models, etc.) a plus.


• Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions.


• Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions, roles and able to interact effectively with all levels.


• Self-starter. Proven ability to manage multiple, concurrent projects with minimal supervision. Can manage a complex ever changing priority list and resolve conflicts to competing priorities.


• Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Work Arrangements and Accessibility

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you\'d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here .

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