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Spark Solution Architect - Empower (remote/virtual - Canada-based)

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Location: Montreal, Quebec, Canada
Job ID: 743999893636383HS
Date Posted: Mar 20, 2023
Segment: IT
Business Unit: Hitachi Solutions
Company Name: Hitachi Solutions Ltd
Job Schedule: Full-time

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Company Description

Company Overview

Hitachi Solutions is a global solutions integrator passionate about designing, developing, and delivering cutting edge cloud solutions to help our clients innovative across their entire business. Our firm develops the business services and technology powering some of the products you use every day - and is closely aligned with Microsoft and other leaders in the cloud computing space.

What sets Hitachi Solutions apart is both our industry focus, and the intellectual property that we bring to our customers. Recognized for our achievements year after year, we strive to be the trusted advisor of large and medium sized enterprises alike - helping them move fast to achieve strategic business initiatives with distinguished engineering, hard work, and compassion. With over 3,000 team members across 14 countries, in our 18 years of focus our company has seen explosive growth and high customer satisfaction. This has allowed us to offer exceptionally compelling salaries, 401k match, family leave, and health benefits. And no - we will not make you come into an office or ask for an inflexible work schedule.

A part of Hitachi, Ltd., our company has a long and rich history of innovation, financial strength, and international presence of one of the world's largest companies. Since 1910, Hitachi, Ltd. has been a leader in manufacturing innovative products and solutions that support industry and social infrastructure around the globe supported by 303,000 employees in over 100 countries and across 864 companies

Job Description


This position is housed in our New Product Development team formed in 2021. Joining this team represents an opportunity to fast-track your career and to work with a team of fun and nerdy colleagues in a disruptive startup atmosphere: focused on hypergrowth, moving quickly, and making mistakes in the furtherance of innovation and sound engineering.

Armed with an existing book of business, and a stable financial parent - it is the goal of this group to transform our company into a billion-dollar product company, by focusing on engineering excellence and making the cloud easier for our customers.

Spark Solution Architect (Databricks, Python, Spark)

This is a full-time role on the Empower product team architecting Big Data solutions. Our Empower product is Platform-as-a-Service (PaaS) / Software-as-a-Service (SaaS) Datalakehouse and Business Intelligence, subscription-based, Intellectual Property.

Individuals in this role will architect complex data pipelines products that manage business critical operations, and large-scale analytics pipelines. Qualified applicants will have expert Spark data engineering expertise and have robust Python software engineering experience.

  • Scope business problems and architect Big Data pipeline solutions - for structured, unstructured and live streaming data - in Spark and Databricks platforms
  • Design complex data pipeline products which manage business-critical operations and large-scale analytics applications
  • Utilize Airflow, Dbt, Data Factory, or similar DAG Tools for orchestration of robust data pipelines
  • Support analytics, data science and/or engineering teams and understand their unique needs and challenges
  • Design & POC integration of new features into proprietary Spark package(s)
  • Partner with Product Management team to identify user stories and maintain prioritized backlog
  • An owner of Empower's Spark repository; review & approve pull requests
  • Enforce code standards: formatting, comments, documentation, unit tests, etc.
  • Instill excellence into the processes, methodologies, standards, and technology choices embraced by the team
  • Mentor developers in Spark and Python best practices
  • Identify opportunities for continued improvement of existing proprietary Spark package(s)
  • Dedicate time to continuous learning to keep the team appraised of the latest developments in the space
  • Commitment to developing technical maturity across the company


Please note: Although our position is remote / virtual / work-from-home, you MUST reside, and be authorized to work, in Canada.
  • 10+ years of Data Engineering expertise including 6+ years designing and building data pipelines for batch and streaming data is REQUIRED
  • 6+ years of experience with Spark/PySpark is REQUIRED
  • 4+ years of experience with Databricks is REQUIRED
  • 4+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes, is REQUIRED
  • 2+ years of experience with DAG Tools (Data Factory, Airflow, Dbt or similar) is REQUIRED
  • Azure cloud experience preferred; will consider AWS, GCP or other cloud platform experience in lieu of
  • 2+ years of experience with Kafka or other live streaming technology is REQUIRED
  • Experience with unit testing or data quality frameworks is REQUIRED
  • 2+ years of experience with source control (git) on the command line is REQUIRED
  • 5+ years of SQL experience, specifically writing complex, highly optimized queries across large volumes of data is REQUIRED
  • Experience with CI/CD deployment pipelines
  • Knowledge of software design patterns







Additional Information

We are an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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