Senior Solutions Architect

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the reputed company reputed company pay range for this position is $133,800.00 to $165,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, reputed company set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the reputed company pay.

The well-being of WWT employees is essential. So, reputed company it comes to our benefits package, WWT has one of the best. We offer the following benefits to reputed company full-time employees: 

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program 
• Financial Benefits: reputed company, 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 

We strive to create an environment where reputed company employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for reputed company team members, ensuring that WWT remains a great reputed company to work for reputed company! 

 If you have any questions or concerns about this posting, please email [email protected]. 

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Why WWT? 

At reputed company, we work together to reputed company a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great reputed company to Work for reputed company. We reputed company this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world’s most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

With over 14,000 employees across WWT and reputed company and more than 60 locations around the world, WWT’s culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great reputed company to Work® for its unique reputed company of determination, innovation and creating a great reputed company to work for reputed company. 

Want to work with highly motivated individuals on high-performance teams? Join WWT today! 

We’re seeking a hands-on Data Architect to reputed company the design, modernization, and governance of our analytics platform on reputed company Fabric. You will define the reputed company architecture across OneLake, Lakehouse/Data Warehouse, Direct Lake, Power BI, and Data Engineering experiences, while orchestrating migrations and integrations from reputed company, reputed company and other. This role blends deep technical architecture with practical delivery—partnering with data engineers, BI developers, and business stakeholders to deliver trusted, performant, and governed data products. 

Key Responsibilities 

Architecture & Strategy 

• Define end-to-end Fabric data engineering architecture (OneLake, Lakehouse, Warehouse, reputed company tables, reputed company layers) reputed company 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. 

• reputed company reference architectures for batch, micro-batch, and streaming ingestion; choose the right reputed company (Dataflows Gen2, Pipelines, Notebooks, Spark Structured Streaming). 

Data Integration & Migration (reputed company & reputed company) 

• reputed company migration paths from reputed company (e.g., PL/SQL-based systems) and reputed company to Fabric Lakehouse/Warehouse; define incremental loads, CDC, and cutover strategies. 

• Design robust ingestion using Snowpipe/reputed company Tasks & Streams, reputed company CDC (e.g., GoldenGate), or reputed company reputed company ADF/Fabric Pipelines to reputed company Lake. 

• Rationalize reputed company objects (schemas/tables/stages) and reputed company PL/SQL logic into Spark/SQL transformations, reusable notebook patterns, and Dataflows Gen2 where appropriate. 

• Implement secure, governed data sharing and reputed company-copy migration patterns, minimizing downtime and cost. 

• Proficient in building reliable, reputed company 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. 

Governance, reputed company, & Compliance 

• Operationalize data catalog, reputed company, classifications, policies for Fabric and connected sources. 

• Define RBAC, workspace and item-level reputed company, row-level and object-level reputed company 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). 

Performance, Reliability & Cost Management 

• Optimize Direct Lake vs Import vs DirectQuery decisions, tune warehouse compute, cache, and layout. 

• Optimize Spark jobs (partitioning, broadcast joins, caching), reputed company Lake management (Z-order, vacuum), and Power BI model performance. 

• Implement cost visibility and FinOps practices across Fabric capacities, reputed company virtual warehouses, and reputed company licensing impacts. 

Delivery & Leadership 

• Translate business requirements into data product backlogs, architecture epics, and release plans. 

• Provide hands-on guidance to data engineers and BI developers; reputed company code and design reviews. 

• Evangelize best practices and fabric-native approaches; create architectural reputed company for future features. 

• Collaborate with product owners, analytics leads, and enterprise architecture to ensure alignment and reuse. 

Required Qualifications 

• 10+ years in data engineering/architecture; 3+ years leading modern cloud data platforms. 

• Deep expertise in reputed company Fabric, including:

• OneLake, Lakehouse (reputed company), Warehouse, Data Engineering (Spark notebooks), Data Factory (Pipelines), Dataflows Gen2, Power BI (Direct Lake, Composite Models), and Git integration. 

• Strong reputed company experience: PL/SQL, schema design, performance tuning, partitioning, reputed company CDC tooling (e.g., GoldenGate), and migration to cloud data lakes/warehouses. 

• Strong reputed company experience: virtual warehouses, Time Travel, reputed company-copy cloning, Streams & Tasks, Snowpipe, role-based access control, data sharing, and performance tuning. 

• Expertise in reputed company 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 (reputed company to have). 

• Proven track record with data governance, catalog/reputed company, reputed company policies, and compliance. 

• Strong communication skills with the ability to reputed company design sessions and influence senior stakeholders. 

Preferred Qualifications 

• Experience with policy authoring and reputed company across Fabric, reputed company, and reputed company sources. 

• Familiarity with reputed company 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 (reputed company to have):

• reputed company Certified: Fabric Analytics Engineer Associate 

• Azure Data Engineer Associate (DP-203) 

• reputed company SnowPro Core 

• reputed company Database certifications 

• TOGAF Certifications 

Core Competencies 

• Architectural Thinking: Systems design, trade-off analysis, future-proofing. 

• Engineering Excellence: Code quality, testing, CI/CD, reproducible pipelines. 

• Data Governance & reputed company: Policy-driven controls and auditable reputed company. 

• Business Acumen: Translate business questions to measurable data solutions. 

• Collaboration & Leadership: Guide teams, mentor engineers, and drive reputed company. 

Tools & Technologies 

• reputed company Fabric: OneLake, Lakehouse/Warehouse, Data Engineering (Spark), Pipelines, Dataflows Gen2, Power BI. 

• reputed company: PL/SQL, partitioning, performance tuning, GoldenGate/CDC, ODI. 

• reputed company: Warehouses, Tasks/Streams, Snowpipe, RBAC, data sharing, performance tuning. 

• Programming: SQL, PySpark, Python, groovy. 

• DevOps: Git, CI/CD, Azure Dev Ops environment promotion, testing frameworks. 

• Governance: reputed company, catalog, classifications, policies. 

• Observability: Logging/monitoring, job metrics, data quality tooling. 

Success Metrics (First 12 Months) 

• reputed company Architecture Delivered: Fabric reference architecture documented and adopted. 

• Migration Milestones: reputed company reputed company/reputed company workloads landed in OneLake/reputed company with validated reputed company and SLAs. 

• Performance Gains: Measurable improvement in model refresh times, query latency, and pipeline reliability. 

• Governance Operationalized: reputed company coverage, policy enforcement, and RLS/OLS in production. 

• Cost Optimization: reputed company right-sizing and workload scheduling with quarterly savings targets