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About the Role

OpsGuru's value to customers is centered on providing deep technical guidance based on their business needs through small, highly skilled virtual teams. The Data Solutions Architect provides technical expertise and leadership to Data Engineers, maintaining a systems view to align technical decisions with project goals and ensuring deliverables meet stakeholder needs while upholding quality standards.

Responsibilities

Provide deep technical expertise and leadership across a range of cloud data technologies, driving tool selection, resolving complex engineering issues, and guiding best practices.
Lead the design and implementation of data platforms to meet customers' business requirements.
Lead whiteboard design sessions with internal and external team members.
Identify and communicate technical risks as they emerge.
Extract project requirements during technical discovery sessions, define deliverables, and break them down into a technical roadmap.
Lead teams of data engineers to execute project roadmaps, providing guidance and technical assistance.
Manage scope within customer engagements, identify changing requirements, determine their impact, and ensure stakeholder agreement.
Maintain a close working relationship with the customer as a "Trusted Advisor", setting expectations, challenging assumptions, soliciting feedback, and taking ownership of deliverables.
Establish credibility and build impactful relationships with customers.
Architect end-to-end data solutions on Microsoft Fabric, including Lakehouse, Data Warehouse, Real-Time Intelligence, and Data Factory components.
Lead technical design sessions and produce architecture artefacts: solution designs, data flow diagrams, and runbooks.
Build and optimize data pipelines using Azure Data Factory and Fabric Data Engineering workloads.
Define and enforce data governance frameworks using Microsoft Purview.
Implement data lineage tracking end-to-end.
Establish data quality rules, monitoring, and remediation processes.
Collaborate with data product owners, engineers, and business stakeholders to translate requirements into scalable platform designs.
Champion best practices for CI/CD, infrastructure-as-code (Bicep / Terraform), and DevOps within the Azure data space.
Provide technical mentorship to engineering teams and contribute to internal standards and reusable accelerators.

Requirements

7+ years of experience in data or solutions architecture roles with hands-on delivery (Azure preferred).
Deep, practical expertise in Microsoft Fabric — Lakehouse, Warehouse, Pipelines, Notebooks, and OneLake.
Strong proficiency across the Azure data stack: ADF, Synapse Analytics, Azure Databricks, ADLS Gen2, Azure SQL.
Proficiency in Python and/or Spark (PySpark) for data transformation, and SQL for analytical workloads.
Hands-on experience with Microsoft Purview for data cataloguing, lineage, classification, and governance policy enforcement.
Proven ability to implement data quality frameworks (expectations, anomaly detection, lineage-aware testing).
Experience building complex data engineering pipelines and ETL/ELT tasks.
Experience with relational databases (e.g., Oracle, SQL Server, MySQL, Postgres, MariaDB) or managed cloud RDBMS services (e.g., Amazon Aurora).
Experience with NoSQL databases (e.g., MongoDB, Cassandra, CouchDB, ElasticSearch, Neo4j, DynamoDB, BigTable).
Experience building batch processing and real-time processing systems.
Experience building Data Warehouses, Data Lakes, and unified analytics platforms (leveraging tools like Microsoft Fabric, Snowflake, or Databricks).
Experience with 3+ of the following: Building real-time streaming solutions (Kafka, Kinesis, Pub/Sub messaging, event buses, or Spark Streaming), Designing and implementing analytics and BI solutions (MicroStrategy, Tibco, Qlikview, or Tableau), Building AI/ML solutions (ongoing training, optimizations, model deployments), Designing, implementing, training, and optimizing ML and AI models, Building solutions leveraging caching systems (e.g., Redis) and object stores (e.g., Amazon S3, Amazon Glacier).
Proven ability to discuss and design solutions using concepts such as data lineage, data quality gates, data anonymization, data governance, data security, data replication, data caching, data lifecycle management, data catalogs, and networking.
Understanding of requirements and impacts from compliance frameworks such as HIPAA, PCI, GDPR, PIPEDA, etc.
Strong communication and presentation skills, written and verbal.
Experience writing technical documentation.
Experience in technical mentoring.
Experience working in a customer-facing delivery role in a consulting or professional services environment.

Skills

Microsoft Fabric
Azure Data Factory
Azure Synapse Analytics
Azure Databricks
ADLS Gen2
Azure SQL
Python
Spark
PySpark
SQL
Microsoft Purview
Data Governance
Data Quality Frameworks
ETL/ELT
Relational Databases
NoSQL Databases
Batch Processing
Real-time Processing
Data Warehousing
Data Lakes
Unified Analytics Platforms
Microsoft Fabric
Snowflake
Databricks
Real-time Streaming
Kafka
Kinesis
Pub/Sub messaging
Event Buses
Spark Streaming
Analytics
BI Solutions
MicroStrategy
Tibco
Qlikview
Tableau
AI/ML Solutions
Machine Learning
Artificial Intelligence
Caching Systems
Redis
Object Stores
Amazon S3
Amazon Glacier
Data Lineage
Data Quality Gates
Data Anonymization
Data Security
Data Replication
Data Caching
Data Lifecycle Management
Data Catalogs
Networking
HIPAA
PCI
GDPR
PIPEDA
Communication Skills
Presentation Skills
Technical Documentation
Technical Mentoring

Location

Remote

Work Type

Remote first
Flexible work hours
Flexible location

Experience Level

7+ years of experience in data or solutions architecture roles

Salary/Compensations

CAD 170K-180K / year

Benefits

Competitive compensation package
Retirement Savings Matching Program (RRSP)
Partnership with Perkopolis Discounts
Flexible work hours & location
Paid parental leave options
Employer-paid health & dental premiums
GreenShield+ Counselling Mental Health
$500 in Health Care Spending Account annually
Training reimbursement (e.g courses on Udemy, Coursera, a-cloud-guru etc.)
Peer recognition rewards

About the Company

OpsGuru, a Carbon60 Company, is a global engineering and consulting group that helps organizations accelerate digital transformation through cutting-edge technology, deep engineering expertise, and outcome-driven solutions.
At OpsGuru, a Carbon60 Company, we encourage employees to bring their whole, authentic selves to work. By sharing and embracing unique backgrounds, experiences, and perspectives, we learn from each other, innovate, and create a dynamic environment where we can be and achieve our best.
We're dedicated to ensuring each member feels a sense of belonging, safety, and respect. At OpsGuru, your unique voice is heard and embraced, and you meaningfully contribute to decision-making and the organization's growth.

Equal Opportunity

OpsGuru is committed to an equitable employee experience, opportunity, and support. If you require accommodations or support during the recruitment process, please email us at careers@opsguru.io.
We thank all applicants for their interest in this exciting opportunity. Only candidates that meet the qualifications will be contacted for an interview.