Data Architect

Valtech

3h

About The Position

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

We are seeking a Principal‑level Data Architect with deep expertise in enterprise data architecture, AI enablement, and cloud‑native development paradigms. This role goes beyond hands‑on engineering—requiring a leader who can define platform strategy, security posture, influence senior clients, and guide teams across multiple concurrent programs.

In addition to strong capabilities in Microsoft Fabric and Azure, the ideal candidate has experience across either AWS or GCP, plus Databricks and broader understanding of modern data stacks. They must be comfortable supporting sales pursuits, leading architectural vision, and ensuring the technical integrity of solutions throughout delivery.

To effectively manage this project and the surrounding ecosystem, the ideal candidate brings demonstrated hands-on expertise in SQL, Python, distributed systems, data governance, and cloud architecture. They should be comfortable guiding clients, scoping and resolving architectural deviations to fit solution requirements, and shaping long-term data and AI strategy.

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.

Nice To Haves

• Experience building AI‑enabled data architectures and ML data pipelines.
• Familiarity with Tableau, Power BI, and Fabric reporting tools.
• Demonstrated experience defining and operationalizing DevOps best practices.
• Experience with Spark, Hive, Impala, and other big data frameworks.
• Knowledge of multi-cloud architecture components (Azure, GCP, AWS).
• Experience with pipeline automation tooling such as Airflow, Azure Data Factory, Prefect.
• Experience leading technical teams and managing data/analytics/ML projects.
• Familiarity with front- and back‑end application stacks and API design (REST/GraphQL).

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.
• Develop advanced transformations, pipelines, and frameworks using SQL, Python, dbt, and Fabric/Databricks cloud-native tooling.
• Implement automation using REST APIs, Data Factory, orchestration services, and multi-cloud workflow tools.
• Guide engineers on distributed architecture, metadata design, data quality frameworks, and platform hygiene.
• Conduct root cause analysis on complex platform or performance issues, driving permanent and scalable remediation.
• Serve as the senior-most technical voice in architecture reviews, solution design, and cross-functional planning.
• Lead strategic conversations with director-level and executive stakeholders.
• Translate complex architecture into clear business implications for non-technical audiences.
• Mentor engineering teams, Tech Archs, PMs, and junior architects, helping build organizational capability.
• Represent architecture during pre-sales conversations, capability pitches, and proposal cycles.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed