Job Description

Overview:

Planview has one mission: to build the future of connected work, from ideas to impact.

As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry's most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100.

At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We're proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere.

Learn more about our portfolio at planview.com, and connect with us on LinkedIn, Instagram, and X.

#LI-CG1 #LI-Hybrid
Responsibilities:

In this influential role, you will

Build and Maintain Data Platforms


Contribute to the development of scalable data pipelines and platform features on AWS. You will implement solutions using modern data processing frameworks, working within established architectural patterns while learning to evaluate trade-offs and propose improvements.Grow Your Technical Expertise


Deepen your skills in distributed data processing, cloud architecture, and data engineering best practices. Work with technologies like Spark, Glue, and modern data platforms while building toward fluency with GenAI-powered development tools. Senior engineers will provide guidance on complex problems while you take increasing ownership of your areas of focus.Collaborate Across the Team


Work closely with senior engineers, product managers, and platform engineers to deliver on team objectives. Participate in design discussions, code reviews, and technical planning. Communicate effectively about your work and proactively seek input when navigating unfamiliar territory.Own Production Operations


Embrace our "You Build It, You Run It" culture by participating in on-call rotations and taking ownership of the systems you help build. Respond to incidents, contribute to root cause analysis, and help improve monitoring and alerting for the platform. You are expected to operate production systems confidently, escalating appropriately when issues exceed your current expertise.
Qualifications:

Who We Are Looking For


You are an engineer who has moved beyond entry-level work and is ready to take on more complex challenges. You can design and implement software components with guidance, and you're building judgment about when to move forward independently versus when to seek input. You're curious about how systems work at scale and eager to deepen your expertise in cloud and data engineering.
You communicate clearly, collaborate well with teammates, and take pride in delivering quality work. You're comfortable asking questions and learning from feedback. You want to grow toward senior-level ownership and are looking for an environment that will support that trajectory.
Required Qualifications

3-4 years of professional software development experience

with exposure to complex software projects. Proficiency in

Java, Python, and SQL

for application development and data processing. Working knowledge of

AWS services and cloud architecture

, with hands-on experience building and maintaining cloud-based applications. Familiarity with

data processing frameworks

(e.g., Apache Spark, AWS Glue) and strong interest in developing expertise in this area. Understanding of

software development methodologies

and tools (version control, CI/CD, code review practices). Familiarity with

Docker and containerization

concepts. Solid understanding of

data structures and algorithms

. Experience with

on-call rotations and production operations

in a team-owned environment. Expected Salary: 100,000 -118,000 CAD

Preferred Qualifications

Experience with

cloud data platforms

(e.g., Snowflake, Redshift, BigQuery) for data warehousing or analytics. Experience with

event streaming technologies

(Kafka, Kinesis) or data pipeline orchestration (Airflow, Dagster). Exposure to

Knowledge Graphs

or

Data Ontologies

concepts. Interest in

Generative AI

and experience using AI-powered coding assistants (GitHub Copilot, Claude Code) for development productivity. Experience with

observability tools

(CloudWatch, Prometheus/Grafana, Splunk) for monitoring and debugging. * Familiarity with

modern table formats

(Apache Iceberg) or query engines (Trino, DuckDB).