Salesforce Data Architect designing and optimizing enterprise - grade data architectures across Salesforce platforms. Collaborating with team members to ensure data quality and readiness for analytics.
About the role
- Data Architect at Valtech designing complex data architectures across cloud platforms. Leading strategic direction in data engineering with a focus on AI and modern data stacks.
Responsibilities
- Design and own complex, enterprise-scale data architectures across MS Fabric, Azure, GCP, AWS, or Databricks serverless or hosted environments.
- Define and enforce architectural standards, patterns, and governance frameworks across ingestion, modeling, lineage, security, and orchestration.
- Shape AI-enabled architecture approaches, including data foundations for ML, feature engineering, and low-latency operationalization pipelines.
- Act as a principal advisor to client technical leadership, helping shape long-term strategy, roadmaps, and modernization initiatives.
- Lead architectural direction during pre-sales cycles, including solutioning, scoping, estimation, and executive-level presentations.
- Anticipate downstream impacts of architectural decisions; maintain ownership when delivery teams or constraints require deviation from the original design.
- Architect highly available, distributed, fault-tolerant data pipelines supporting batch and streaming workloads.
- Oversee migration and integration of complex, diverse data sources into Fabric, Azure, GCP, or Databricks platforms.
- Define medallion/lakehouse modeling patterns across Bronze/Silver/Gold zones or cloud equivalents.
- Set enterprise standards for ingestion → transformation → serving layers across multi-cloud environments.
- Optimize performance of large-scale data processing across Spark, Databricks, and Fabric-native engines.
- Provide leadership across 2–3 concurrent projects with variable allocation, ensuring architectural consistency and delivery quality while also contributing to in-depth technical work where needed.
Requirements
- 10+ years of experience in data engineering, data architecture, or platform engineering.
- Experience designing or building enterprise data platforms on at least one of Azure, GCP, or AWS and Databricks.
- Deep expertise in SQL, Python, distributed data processing, and cloud-native data design.
- Significant experience with medallion/lakehouse architecture patterns.
- Strong knowledge of modern data platforms: Databricks, Azure Synapse, Microsoft Fabric, Delta Lake, BigQuery, etc.
- Proven experience leading architecture across large programs and multiple concurrent projects.
- Experience with enterprise automation and integration using REST APIs.
- Strong communication skills and ability to engage confidently with senior leadership and clients.
- Experience in pre-sales, technical solutioning, or client-facing architecture leadership.
Benefits
- A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage.
- Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program.
- A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech.
- A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.
- Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year.
- Personal Technology Reimbursement – $30/month for every employee-offered on day 1.
- We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed.
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