Senior Specialist - Architecture

Senior Specialist

• Architecture LTM
• 3.7 Bellevue, WA Job Details $95,000
• $110,000 a year 12 hours ago Benefits Paid parental leave Paid holidays Disability insurance Health insurance Dental insurance Parental leave Vision insurance 401(k) matching Life insurance Qualifications Data model design Responsive design Azure SQL Database Commercial use (data warehousing systems) Cloud analytics services Data replication CSS Azure Networking Services Full-stack development .

NET Core Spark Front-end state management GitHub Actions Jest Application deployment AI platforms (beyond public GPTs) Schema design Data governance Microservices Azure Synapse Analytics DAX Business intelligence tools Spark implementation Cloud database architecture Azure Key Vault Azure Data Factory Next.js Azure AD WCAG Accessible UI/UX design Full Job Description Role description Data Architect Microsoft Fabric Migration Full Stack Development Experience 10 years overall with 5 years in Data Architecture 2 years handson with Microsoft Fabric or strong Synapse background with early Fabric adoption 3 years in Full Stack delivery Job Summary We are seeking an experienced Data Architect with strong expertise in Microsoft Fabric migration modern data platforms and full stack application development The ideal candidate will lead enterprisescale data modernization initiatives architect scalable governed cloudnative solutions and collaborate with crossfunctional teams to build integrated analytics and application platforms The role requires handson experience in Microsoft Fabric Azure Data Engineering services data migration strategies governance and full stack development using modern web technologies Key Responsibilities Architecture Migration Lead architecture and migration of enterprise data platforms to Microsoft Fabric Design scalable secure modern data solutions using Lakehouse Data Warehouse Fabric Data Factory OneLake RealTime Intelligence and Power BI Define medallion architecture BronzeSilverGold semantic models and capacitycost governance FSKU planning for Fabric workloads Define enterprise data architecture standards ADRs HLDLLD governance and best practices Develop migration strategies from legacy platforms SQL Server Synapse Hadoop Teradata onprem DWHs to Microsoft Fabric Data Engineering Build and optimize ETLELT pipelines using Azure Data Factory Fabric Data Factory PySpark Delta Lake and SQL Implement dimensional modeling Kimball StarSnowflake SCD Type 12 and Data Vault 20 where appropriate Leverage Shortcuts Mirroring and Direct Lake mode for performance and cost optimization Perform table maintenance

OPTIMIZE VACUUM

VOrder partitioning and query tuning Governance Security Compliance Establish data contracts lineage and Microsoft Purviewbased governance across domains Implement RowLevel Security RLS ObjectLevel Security OLS sensitivity labels workspace roles private endpoints and VNet data gateways Ensure data security compliance performance tuning and high availability of data platforms RealTime AI Design realtime analytics using Fabric Eventstream KQL databases ReflexActivator Event Hubs and Kafka Integrate AIML workloads Fabric Data Science MLflow notebooks Azure OpenAI Copilot in Fabric vector search RAG patterns Full Stack APIs Design and develop full stack applications and datadriven portals using modern frameworks Create REST and GraphQL APIs microservices and backend services for data integration and analytics consumption Publish and govern APIs via Azure API Management DevOps Delivery Implement CICD pipelines InfrastructureasCode and automated deployment processes Lead AgileScrum delivery design reviews estimation and presales technical input Mentor development and engineering teams on architecture standards and implementation best practices Required Skills Data Cloud Technologies Microsoft Fabric Lakehouse Warehouse OneLake Fabric Data Factory Direct Lake Delta Lake Parquet Medallion architecture Azure Data Factory ADF Azure Synapse Analytics Azure Data Lake Power BI semantic models

DAX RLSOLS SQL

Server PySpark TSQL Spark SQL Dimensional Data Vault modeling ETLELT architecture Data Warehousing Microsoft Purview data lineage data catalog Fabric capacity FSKU planning CU consumption FinOps Azure Cloud Services Storage Networking Key Vault Monitor Full Stack Development Reactjs Nextjs or Angular Nodejs NET Core REST APIs GraphQL microservices eventdriven patterns Service Bus Event Grid

HTML5 CSS3

JavaScript TypeScript Entra ID MSAL OAuth 20 and OIDC State management ReduxZustand and testing Jest Playwright Responsive design and accessibility WCAG DevOps Tools Azure DevOps GitHub Actions CICD pipeline implementation Git Docker Kubernetes preferred InfrastructureasCode Bicep Terraform Preferred Qualifications Enterprisescale Microsoft Fabric implementations Strong understanding of cloud migration and modernization strategies AgileScrum delivery experience Certifications strongly preferred DP600 Fabric Analytics Engineer Associate required for this role DP700 Fabric Data Engineer Associate AZ305 Azure Solutions Architect Expert DP203 Azure Data Engineer legacy relevant for migration context Experience with Fabric RealTime Intelligence Copilot in

Fabric and FinOp Skills Mandatory Skills :

Data Architecture, Microsoft Fabric Good to

Have Skills :

AZURE DATA

LAKE, Azure Data Science, ETL / Datawarehouse testing Other details Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

Benefits and Perks:

Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer :

The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Benefits Compensation range:

$95,000.00 to $110,000.00 per year About LTM LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert

• https://www.

ltimindtree.com/recruitment-fraud-alert/