What Makes This Role Great:- Hands-On Technical Leadership: Set the technical direction for Rodan's Databricks data platform while staying hands-on with the pipelines, building on the ingestion foundation already in place.
- Built for Growth: Rodan is building out its central data platform to support a goal of 10x revenue growth in 5 years, centered on energy market optimization across IESO, AESO, PJM, NYISO, MISO, and ERCOT.
- Real Ownership and Visibility: Own the architecture, standards, and governance that the business relies on, and show senior leadership what new products and capabilities the platform can unlock.
- Modern Data Stack: Work in Databricks (Unity Catalog, Delta Lake, serverless compute, Lakeflow Connect/Auto Loader, MLflow, Genie) with Python/PySpark and SQL, deployed via Asset Bundles.
- Complex, Interesting Data: Multi-market electricity data covering demand response, coincident peaks, settlements, and asset optimization, plus a growing set of vendor feeds.
Key Responsibilities:Hands-On Build
- Get up to speed on the existing automated ingestion pipelines and extend them to meet growing requests for new data
- Take ownership of our existing automated ingestion pipelines and expand them to meet growing demand for new data sources
- Build and maintain bronze/silver ingestion and transformation pipelines across core sources: market data, facility data, and a growing set of vendor feeds (weather, forward curves, broker statements)
- Work directly in Databricks using PySpark notebooks, Delta Lake, Databricks Jobs/Asset Bundles, and serverless compute
- Establish and apply ingestion patterns (Auto Loader, sliding-window MERGE, versioned-forecast handling) as new sources are onboarded
- Monitor data flows so data arrives on time, with alerting that notifies downstream teams such as Energy Markets when there are interruptions
- Implement automated data quality checks on incoming data so reports and models can be trusted
- Make data transformations more efficient to reduce platform processing costs
Architecture, Governance & Standards
- Own bronze/silver/gold architecture decisions, including schema conventions, naming standards, and the table ownership model
- Establish a governance model where every dataset has a clear owner, keeping curated data in the silver and gold layers and raw data out of business reporting
- Manage access controls so people only see the data they should, while keeping data easy to find and trusted
- Plan how platform data and dashboards can be integrated with other systems and securely shared with customers
- Scope and cost-estimate the onboarding of new data sources (SFTP, API, vendor CSV drops)
- Review cross-source data quality and lineage as the platform grows
Collaboration & Communication
- Work with external data providers and vendors, representing Rodan in those conversations
- Demonstrate and explain what the platform makes possible to senior leadership and other non-technical audiences
- Explore and introduce new Databricks capabilities, such as AI agents, that create new value from Rodan's data
- Set the technical bar and share best practices on notebook and pipeline conventions
Required Skills and Qualifications:- 5+ years of data engineering experience, including a track record of technical leadership such as architecture decisions, standards-setting, or mentoring other engineers
- Hands-on experience delivering a data warehouse, data lake, or lakehouse project that centralized data from many sources for reporting, analytics, or machine learning
- Deep hands-on experience with Databricks (strong experience with a comparable platform such as Snowflake may be considered)
- Solid understanding of medallion (bronze/silver/gold) architecture patterns
- Strong Python and SQL skills, with experience owning ETL/ELT pipelines end-to-end, from raw ingestion (API, SFTP, file drops) through to modelled, analytics-ready tables
- Experience designing schema and table conventions and data models that other teams build on, with an eye to how the platform scales as new sources are added
- Confidence being the most senior technical voice in the room from day one, while staying genuinely hands-on with code
- Excellent communication skills, with the ability to explain technical concepts clearly to business stakeholders, senior leaders, and external vendors
Preferred Qualifications:- Databricks certification, such as the Databricks Azure Platform Architect accreditation or Data Engineer Professional
- Experience with energy markets, trading, or utility data (not required; the domain is learnable)
- Leadership qualities and an interest in growing into a leadership role, such as leading projects or mentoring engineers
Rodan Role, Compensation & Benefits Include:- Hybrid: 3 days in office, Mississauga, Ontario
- Profit Sharing Plan
- Comprehensive health benefits package
- Group RRSP with employer matching
- Base salary range of CAD $115,000 to $140,000
Apply Now: If you're a hands-on data engineer ready to shape the technical direction of a modern data platform, we want to hear from you!
Hiring ProcessRodan Energy's hiring process is designed to identify candidates who are the right fit: technically, culturally, and professionally. As part of our process, candidates should be aware of the following:
- Background Check: As part of our hiring process, the successful candidate will be required to complete a background check, which may include a criminal record check, credential verification, and a driver's abstract (if applicable). Professional references will also be collected as part of the process.
- Assignment: Shortlisted candidates may be asked to complete a practical technical assignment. This is an opportunity to demonstrate how you approach data architecture design, pipeline trade-offs, and scaling a platform as new sources are added.
We respect your time and will provide clear instructions and reasonable timelines for any assignments requested.
Referral Bonus: Do you know someone who would be a great fit for our team? We are offering a CAD $2,500 referral bonus for successful referrals that lead to a hire for this role, effective until further notice. Please connect with Jenny Dong at [email protected].
Artificial Intelligence DisclosureRodan Energy may use artificial intelligence tools to support the screening, assessment, or selection of applicants during the recruitment process.
Vacancy Status: This posting is for an existing vacancy.
