Red Pico Consulting Services Inc.
Microsoft Fabric / Azure Data Lead - Bollinger Shipyards
Be an Early Applicant
Lead the architecture and implementation of a Microsoft Fabric data platform, including migration from Azure Synapse, secure networking, near-real-time ingestion, data protection, and Medallion architecture. Design ingestion from Oracle and SQL Server systems, guide capacity and cost strategy, validate GCC High capabilities, mentor data engineers, review technical work, resolve complex challenges, and communicate architecture decisions to client stakeholders.
This is a remote position.
Client: Bollinger Shipyards
Position Summary
We are seeking a Cloud Developer/Data Engineer to lead the design and implementation of a modern Microsoft Fabric data platform for a large-scale enterprise environment. This role will own the target Fabric architecture, guide the migration from Azure Synapse to Microsoft Fabric, and establish secure, scalable data ingestion and protection patterns
The ideal candidate will bring strong hands-on Microsoft Fabric and Azure data engineering experience, along with the ability to lead architecture decisions, mentor engineers, work directly with client stakeholders, and navigate security and compliance requirements in a government or defense-related environment
Primary Location:
Across USA
Work Model:
Fully Remote
Employment Type:
Contract Duration: 2.5-3 Months + 6-Month Extension Potential
Responsibilities
- Own the end-to-end design of the client's target Microsoft Fabric architecture, including workspace organization, capacity strategy and sizing, and cost forecasting
- Lead the technical strategy for migrating the existing Azure Synapse platform to Microsoft Fabric, including migration approach, data movement patterns, and sequencing
- Evaluate and recommend approaches such as OneLake shortcuts versus one-time data copy while minimizing disruption to active initiatives
- Design secure Microsoft Fabric networking, including private endpoints and virtual network integration, in partnership with infrastructure and security teams
- Architect near-real-time data ingestion from Oracle ERP and multiple on-premises and Azure SQL Server databases
- Design and implement ingestion patterns using technologies such as SQL Server mirroring and Oracle Change Data Capture
- Define data sensitivity classification and tagging approaches at the schema, table, and column levels to protect sensitive data
- Build the roadmap from an ingestion-and-protection-first foundation toward a full Medallion architecture and downstream dimensional modeling
- Serve as the primary technical point of contact for Microsoft Fabric capability and architecture questions
- Work directly with Microsoft's product team to validate Microsoft Fabric capabilities, availability, and constraints within GCC High environments
- Translate technical findings into client-facing documentation, architecture recommendations, and change-request inputs
- Provide day-to-day technical direction and mentorship to Data Engineers on the account
- Review technical designs and code, resolve complex technical challenges, and help unblock engineering teams
- Partner with account and delivery leadership to shape scope, staffing, and the technical roadmap as the engagement evolves
Qualifications, Skills & Experience
- U.S. Citizen residing in the United States
- 7+ years of professional data engineering experience
- 3+ years in a Lead, Architect, or equivalent senior technical ownership capacity
- Hands-on Microsoft Fabric implementation experience, including OneLake, Lakehouse, Data Factory pipelines, and workspace/capacity administration
- Production or pilot experience implementing Microsoft Fabric in an enterprise environment
- Strong understanding of the Azure Data & AI ecosystem, including Azure Synapse Analytics, Azure Data Factory, Azure SQL/SQL Server, Azure Data Lake Storage, and Azure OpenAI or Azure AI services
- Experience leading a data platform migration, such as Synapse to Fabric or a comparable data platform modernization
- Experience designing secure Azure networking for data platforms, including private endpoints and VNet integration
- Strong SQL and Python/PySpark skills with experience delivering production-grade data pipelines
- Experience with Change Data Capture (CDC), database mirroring, or replication for near-real-time data ingestion
- Experience working with SQL Server, Oracle, or similar enterprise databases
- Working knowledge of Medallion architecture and dimensional modeling, including facts, dimensions, and star schemas
- Experience delivering solutions in regulated or compliance-sensitive environments such as CMMC, DFARS, FedRAMP, or similar
- Strong client-facing communication skills with the ability to lead technical workshops and explain architecture decisions to non-technical stakeholders
- Experience mentoring engineers and providing technical direction across a data engineering team
Nice To Have
- Direct experience with Microsoft Fabric in GCC High environments
- Experience working with government or defense-industrial clients
- Experience with CMMC, DFARS, FedRAMP, or comparable compliance frameworks
- Experience working directly with Microsoft product teams on cloud platform capabilities and feature availability
- Experience developing architecture roadmaps for evolving data platforms
- Experience with enterprise cloud cost forecasting and capacity optimization
- Experience with Azure OpenAI and other Azure AI services
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, Databricks pipelines, Gold Layer tables, semantic models, and AI-enabled data products. Lead complex cross-team initiatives, translate ambiguous business needs into scalable solutions, ensure data quality and reliability, and mentor engineers and analysts. Build, evaluate, and monitor production LLM and agent systems while automating marketing and go-to-market workflows with AI. Partner with BI, Data Science, Marketing, Sales, and R&D teams to support self-service analytics and trusted business KPIs.
Top Skills:
Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEltETLLakehouse ArchitecturesLlmsPythonSalesforceSemantic LayersSnowflakeSQLStreamlit
54 Minutes Ago
Easy Apply
Easy Apply
Big Data • Fintech • Mobile • Payments • Financial Services
Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.
Top Skills:
AnalyticsAttributionAustralian Privacy ActCcpa/CpraConsent ManagementCookiesGdprInstrumentationMarketing TechnologyMeasurement SystemsTaggingWeb Experimentation
Agency • Digital Media • Legal Tech • Marketing Tech • Social Media • SEO
Own a portfolio of clients to maximize retention and growth: run client calls, analyze lead and performance data, spot retention risks and upsell opportunities, coordinate internal teams to deliver on strategy, and contribute process and AI-driven improvements to internal systems.
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
