Hello Everyone,
Hope you are doing good!!!!
My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.
Sr. Data Architect
Location: Frisco, TX / Bellevue, WA Hybrid work role
Duration: Long term contract
Finance data Intelligence | Data & Reporting Center of Excellence
Program: DR COE T-Finance | Domain: Finance data Intelligence | Level: Senior / Principal |
ABOUT THE ROLE
T-Mobile's Data & Intelligence organization manages a complex, high-stakes portfolio of federal, state, and local Finance data obligations spanning income, sales ,tax, property tax, and regulatory compliance. Today, these functions rely on fragmented spreadsheets, Alteryx workflows, and disconnected source systems - creating risk for data integrity, compliance reporting, and audit readiness.
The Sr. Data Architect will serve as the primary technical owner of the T-Finance Intelligence platform, a modernization initiative that consolidates Finance data into a governed, centralized Databricks lakehouse. This role partners directly with the Finance organization and the D&I COE architect a medallion data platform, retire all Alteryx dependencies, establish SOX-compliant data infrastructure, and unlock AI-assisted Finance data analytics - compressing close cycles from days to hours and turning compliance from a manual exercise into a systematic, repeatable capability.
KEY RESPONSIBILITIES
- Platform Architecture - Design and own the end-to-end finance Intelligence data platform on Databricks, implementing the DR COE medallion architecture (Bronze, Silver, Gold) using Delta Lake, Unity Catalog, and Databricks Workflows.
- Alteryx Retirement - Lead the migration of 40+ Alteryx workflows to version-controlled, testable dbt models in GitLab. Translate complex Finance data transformation logic - including income Finance data provision, deferred Finance data calculations, and jurisdiction models - into SQL-native dbt models with full CI/CD pipeline gates.
- SOX & Governance - Architect access controls, change management workflows, and audit trails that satisfy IT General Controls (ITGC) requirements. Enforce row-level and column-level security through Databricks Unity Catalog, design segregation of duties across engineering and analyst roles, and ensure every Finance data figure is traceable end-to-end from source to reporting surface.
- Data Modeling - Build and certify Silver and Gold layer data products: income Finance data provision, deferred Finance data rollforward, effective Finance data rate (ETR) analysis, sales & use Finance data, and property Finance data. Define dbt data contracts, automated testing frameworks, and referential integrity checks across all layers. Experience in MDM and independently, identifying, defining and driving the end-to-end solution from the problem statements.
- Ingestion & Orchestration - Design ADF-based ingestion pipelines from ERP systems and source flat files into the Bronze Delta Lake layer. Orchestrate end-to-end pipeline execution using Databricks Workflows with auto-scaling compute and full monitoring.
- Semantic Layer & Reporting - Architect the Unity Catalog semantic layer powering certified Power BI and Tableau dashboards - provision review, ETR analysis, deferred Finance data rollforward. Ensure reporting surfaces are governed, certified, and auditor-ready.
- AI & ML Capabilities - Architect AI-assisted Finance data intelligence features on Databricks: ML-based anomaly detection for accrual variances (AutoML, MLflow), predictive Finance data accrual models (Feature Store, Delta Live Tables), natural-language querying via Databricks Genie, and AI-generated audit narratives via Model Serving.
- Stakeholder Partnership - Translate Finance data SME business requirements into data product specifications. Lead architectural reviews, drive UAT sign-off on certified data products, and communicate technical decisions to both engineering and executive audiences.
- Standards & Mentorship - Establish and enforce solution and data architecture standards across the T-Finance Finance data program. Mentor data engineers on Databricks best practices, dbt modeling patterns, and DR COE reference architecture. Contribute to the broader T-Finance shared data infrastructure.
REQUIRED QUALIFICATIONS
- 10+ years of experience in data architecture, data engineering, or a closely related field.
- 5+ years of hands-on experience with Databricks - Delta Lake, Unity Catalog, Workflows, and SQL/Python notebooks.
- Deep dbt expertise: modeling patterns (staging, intermediate, mart), testing frameworks, dbt docs, and CI/CD integration via GitLab or Azure DevOps.
- Strong SQL proficiency and solid Python skills for data transformation and pipeline development.
- Demonstrated experience designing and operating SOX-controlled data environments, including ITevidence requirements, access control design, and change management workflows.
- Proven track record migrating legacy ETL tools (Alteryx, SSIS, Informatica, or equivalent) to modern, code-first, version-controlled data pipelines.
- Experience with the Azure data ecosystem: Azure Data Factory (ADF), Azure DevOps, and Azure Active Directory / Entra ID for identity and access.
- Experience architecting data products including MDM, for Finance, Accounting, or Finance data domain business stakeholders.
- Strong ability to communicate complex technical architectures to non-technical audiences, including Finance leadership and internal audit teams.
PREFERRED QUALIFICATIONS
- Domain expertise in Finance data: income Finance data provision, deferred Finance data calculations, effective Finance data rate (ETR) analysis, sales & use Finance data, or property Finance data.
- Databricks certifications - Databricks Certified Data Engineer Associate/Professional or Databricks Certified Associate Developer for Apache Spark.
- Experience with Databricks MLflow model registry, AutoML, Feature Store, or Delta Live Tables for ML pipeline development.
- Power BI or Tableau semantic layer design - certified datasets, row-level security, and self-service enablement for Finance analysts.
- GitLab CI/CD pipeline design for data workloads, including automated regression testing and dev staging production promotion gates.
- Familiarity with T-Mobile DR COE reference architecture, TISS-310 data classification standards, or T-Mobile QSR cybersecurity requirements.
- Experience with Databricks Genie or natural-language SQL interfaces for self-service analytics enablement.
Thanks & Regards,
Pavan Raikhelkar
LEAD TALENT ACQUISITION SPECIALIST
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