Résumé

Josh Dariya

Senior Technology Leader | VP of Data Engineering & Architecture

15+ years of enterprise data platform expertise

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Professional Summary

Senior data architecture and data engineering leader with 15+ years of expertise in driving enterprise data strategy and roadmaps, training and leading high-performing Agile teams, managing multimillion-dollar project portfolios and budgets, and building robust cross-functional partnerships to successfully execute large-scale data management and transformation efforts. Multi-faceted experience as a strategic leader, technical SME, and change agent — combining deep technical expertise in data analytics and business intelligence with strong project management, problem-solving, and relationship-building skills across the full project life cycle.

Career Highlights

Led teams of 8–35 members in data architecture, engineering, and analytics with project budgets up to $5M
Collaborated with Fortune 500 companies: Google, Barclays Bank, and United Healthcare
Trained and mentored 10+ employees across data engineering, cloud computing, and BI tools
Worked directly with AWS, Microsoft Azure, and Snowflake to integrate advanced cloud-based solutions
Established data governance frameworks reducing operational costs by 25% and improving data accuracy
Active Public Trust Security Clearance

Professional Experience

VP, Data Architecture & Engineering

Quility· Washington, DC
May 2022 – Present
  • Designed modern architectures for data products, selecting cloud-based services for both OLTP and OLAP use cases
  • Led development of an Azure-based data platform supporting internal applications and customer-facing solutions
  • Deployed enterprise data warehouse in Snowflake following comprehensive evaluation of Snowflake, BigQuery, and Azure Synapse
  • Implemented CDC from OLTP sources (PostgreSQL/SQL Server) into Snowflake via Fivetran, streams, and tasks
  • Built Python/PySpark services (Azure Functions/Databricks) for API ingestion, schema enforcement, and automated validation
  • Designed and operationalized a reusable Streamlit application platform for Insurtech workflows with CI/CD via Azure DevOps
  • Integrated Snowflake Cortex and generative AI for natural-language insights and next-best-action recommendations
  • Established data governance framework with Azure Purview for lineage mapping, cataloging, and business glossaries
  • Hardened security with RBAC, column masking, and least-privilege patterns across all pipelines and warehouses
Snowflakedbt CoreTerraformDatabricksFivetranAzure DevOpsPythonPySparkStreamlitAzure Purview

Senior Cloud Data Architect

Google· New York, NY
Dec 2021 – Apr 2022
  • Developed scalable batch data pipelines using Cloud Dataflow with both ELT and ETL patterns
  • Collaborated with business and data teams to optimize data models on BigQuery and BigTable
  • Led solutioning of large-scale data warehouses, data lakes, and analytics platforms on GCP
  • Designed ETL strategies to migrate data from legacy systems (F1, Vector, Dremel) into GCS and BigQuery
  • Established data architecture frameworks encompassing modeling, metadata management, and security protocols
Google Cloud PlatformBigQueryCloud DataflowCloud DataprepBigTablePythonApache Beam

Senior Informatics Engineer

TriMedx· Indianapolis, IN
Sep 2019 – Dec 2021
  • Designed and implemented complex dimensional data models using Erwin Data Modeler, deployed in Snowflake
  • Implemented advanced Snowflake features: resource monitors, RBAC, data sharing, virtual warehouse sizing, Zero Copy Clone, Time Travel
  • Modeled end-to-end OLTP to OLAP flows from operational sources through GCS to BigQuery star schemas
  • Wrote Python (Apache Beam/Dataflow) transforms and custom IO connectors for relational/NoSQL ingest
  • Migrated legacy dashboards from Liferay/Sigma to Looker with interactive Ribbon dashboards
SnowflakeBigQueryAzure Data FactoryPentahoPythonLookerErwin Data Modeler

Analytics Consultant III

Barclays Bank· Wilmington, DE
Jul 2016 – Sep 2019
  • Conducted enterprise-level data modeling and architecture with enterprise architects using Erwin Data Modeler
  • Implemented ETL processes (SSAS, SSIS, SSRS) to consolidate and migrate data to enterprise repositories
  • Built OLAP dimensional models in Snowflake (conformed dimensions, fact aggregation, SCD2) exposed via Looker
  • Extracted data via RESTful APIs for visualization in Tableau and Qlik Sense; migrated dashboards to Qlik Sense Cloud
  • Tuned Snowflake OLAP performance with clustering keys, result caching, warehouse sizing, and resource monitors
SnowflakeSQL ServerTableauQlik SensePower BIPythonAzureRedshiftLooker

Senior Business Intelligence Analyst

Citizens Bank· New York, NY
Jun 2014 – Jun 2016
  • Transferred SSRS and Excel financial reports to MicroStrategy, enhancing KPI automation and visualization
  • Conducted data mining and warehousing using Snowflake, SAP, Teradata, and Oracle
  • Designed parameterized, drill-down, and ad hoc reports using SSRS for operational and strategic reporting
SnowflakeMicroStrategyTeradataOracleSAP Business ObjectsSSRSSQL Server

Data Analyst

United Healthcare· New York, NY
Jun 2013 – May 2014
  • Developed interactive visual analytic dashboards using Tableau, Power BI, Looker, and Cognos
  • Collaborated with DataStage ETL and SAS development teams for seamless data integration
  • Conducted independent research to identify and resolve Medicare payment issues across provider types
TableauPower BILookerCognosSQLSASDataStage

Education

BS, Geographic Information Systems
Ahmadu Bello University

Certifications

AWS Certified Solutions Architect – Professional
Amazon Web Services
AWS Certified DevOps Engineer
Amazon Web Services
Tableau Desktop Specialist
Tableau Software
Scrum Master Accredited Certification™
International Scrum Institute
Professional Certificate – Leadership & Management in Health
University of Washington
Professional Certificate – Digital Marketing Professional
Digital Marketing Institute

Security Clearance

Active Public Trust Security Clearance

See the Work

Four production-grade data platform solutions, live on GitHub with full documentation.

Technical Expertise

Data Warehousing & Modeling

SnowflakeAmazon RedshiftGoogle BigQueryAzure SynapseTeradataStar SchemaSCD2Data Vault 2.0OLTP / OLAP DesignDimensional Modeling

Data Transformation

dbt Coredbt CloudSQLJinja2 Macrosdbt Testing & DocsschemachangeStored ProceduresSnowflake TasksPL/SQLT-SQL

Data Engineering & Pipelines

DatabricksPySparkDelta LakePythonApache Beam / DataflowAzure Data FactoryREST API IngestionPagination & Retry LogicIncremental LoadsPentahoSSISInformaticaTalend

Data Ingestion (Fivetran)

SQL ServerPostgreSQLMySQLNetSuite SuiteAnalyticsCventZoomIntercomAmplitudeRingCentralSharePointAmazon S3Microsoft ListsFivetran Platform Metadata

Infrastructure & DevOps

TerraformSnowflake Terraform ProviderAzure DevOpsCI/CD PipelinesAzure Data Lake StorageAzure Key VaultAzure PurviewGitHub ActionsMulti-environment PromotionRBAC & Column Masking

Analytics & BI

StreamlitPower BITableauLookerQlik SenseMicroStrategyCognosAlteryxSSRSSnowflake Cortex / GenAI

Cloud Platforms

Microsoft AzureAmazon Web Services (AWS)Google Cloud PlatformOracle CloudHadoopKafkaRed Hat OpenShift

Languages & Querying

SQLPythonPL/SQLT-SQLRSASUnix Shell ScriptingSpark SQL

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