World Wide Technology · 10 hours ago
Senior Solutions Architect
World Wide Technology is a global technology solutions provider leading the AI and Digital Revolution. They are seeking a hands-on Data Architect to lead the design, modernization, and governance of their analytics platform on Microsoft Fabric, partnering with data engineers, BI developers, and business stakeholders to deliver trusted data products.
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Responsibilities
Define end-to-end Fabric data engineering architecture (OneLake, Lakehouse, Warehouse, Delta tables, medallion layers) aligned to business domains, enterprise architecture, platform architecture and data product strategy
Establish dimensional and semantic models for Power BI leveraging Direct Lake, Composite Models, and shared datasets
Create standards for data modeling, partitioning, indexing, and performance optimization across Fabric pipelines, notebooks, and warehouses
Develop reference architectures for batch, micro-batch, and streaming ingestion; choose the right pattern (Dataflows Gen2, Pipelines, Notebooks, Spark Structured Streaming)
Lead migration paths from Oracle (e.g., PL/SQL-based systems) and Snowflake to Fabric Lakehouse/Warehouse; define incremental loads, CDC, and cutover strategies
Design robust ingestion using Snowpipe/Snowflake Tasks & Streams, Oracle CDC (e.g., GoldenGate), or landing via ADF/Fabric Pipelines to Delta Lake
Rationalize Snowflake objects (schemas/tables/stages) and Oracle PL/SQL logic into Spark/SQL transformations, reusable notebook patterns, and Dataflows Gen2 where appropriate
Implement secure, governed data sharing and zero-copy migration patterns, minimizing downtime and cost
Proficient in building reliable, realtime data pipelines using Kafka—covering event streaming architecture, streaming ingestion with Fabric and Spark, Kafka Connect and schema management, and the design of lowlatency processing with Kafka Streams or Spark
Operationalize data catalog, lineage, classifications, policies for Fabric and connected sources
Define RBAC, workspace and item-level security, row-level and object-level security for BI and warehouse artifacts
Establish data quality rules, observability (logging/metrics), SLAs, and error handling across pipelines and streaming jobs
Partner with InfoSec for encryption, key management, and compliance (e.g., HIPAA/PCI/SOX depending on industry)
Optimize Direct Lake vs Import vs DirectQuery decisions, tune warehouse compute, cache, and layout
Optimize Spark jobs (partitioning, broadcast joins, caching), Delta Lake management (Z-order, vacuum), and Power BI model performance
Implement cost visibility and FinOps practices across Fabric capacities, Snowflake virtual warehouses, and Oracle licensing impacts
Translate business requirements into data product backlogs, architecture epics, and release plans
Provide hands-on guidance to data engineers and BI developers; perform code and design reviews
Evangelize best practices and fabric-native approaches; create architectural runway for future features
Collaborate with product owners, analytics leads, and enterprise architecture to ensure alignment and reuse
Qualification
Required
10+ years in data engineering/architecture; 3+ years leading modern cloud data platforms
Deep expertise in Microsoft Fabric, including: OneLake, Lakehouse (Delta), Warehouse, Data Engineering (Spark notebooks), Data Factory (Pipelines), Dataflows Gen2, Power BI (Direct Lake, Composite Models), and Git integration
Strong Oracle experience: PL/SQL, schema design, performance tuning, partitioning, Oracle CDC tooling (e.g., GoldenGate), and migration to cloud data lakes/warehouses
Strong Snowflake experience: virtual warehouses, Time Travel, zero-copy cloning, Streams & Tasks, Snowpipe, role-based access control, data sharing, and performance tuning
Expertise in Delta Lake, Spark SQL/PySpark, SQL (analytical functions), data modeling (dimensional/star, data vault, semantic modeling)
Hands-on experience with Azure services: ADLS/OneLake, Key Vault, Azure AD, Event Hubs/Kafka, Functions/Logic Apps (nice to have)
Proven track record with data governance, catalog/lineage, security policies, and compliance
Strong communication skills with the ability to lead design sessions and influence senior stakeholders
Preferred
Experience with policy authoring and lineage across Fabric, Snowflake, and Oracle sources
Familiarity with Databricks or Synapse (for comparison/interop) and migration trade-offs to Fabric
Experience implementing streaming architectures (e.g., IoT/real-time analytics)
Background in domain-driven design and data product operating models
Certifications (nice to have): Microsoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer Associate (DP-203), Snowflake SnowPro Core, Oracle Database certifications, TOGAF Certifications
Benefits
Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
Company
World Wide Technology
World Wide Technology provides technology and supply chain solutions for large public and private organizations.
H1B Sponsorship
World Wide Technology has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (52)
2024 (56)
2023 (25)
2022 (63)
2021 (50)
2020 (48)
Funding
Current Stage
Late StageTotal Funding
$25M2000-02-13Series Unknown· $25M
Recent News
2026-01-22
2026-01-16
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