Professional Resume Template for
Data Architect
Dorian K. Thorne
Denver, CO
(303) 555-0149
dorian.thorne@email.com
linkedin.com/in/dorian-thorne | github.com/dorianthorne | dorianthorne.dev
Professional Summary
Systems-oriented Data Architect with 6 years of experience designing and implementing scalable data architectures and pipelines across enterprise environments. Expertise includes dimensional modeling, building ETL/ELT pipelines, and optimizing database performance for high-throughput transactional and enterprise database applications. Successfully reduced cloud data storage costs by 28% and improved query latency by 45% using Snowflake and Databricks. Proficient in designing schemas in ERwin, managing data warehouses, and coordinating with software engineering teams to align data storage designs with business goals.
Work Experience
Data Architect — Polaris Analytics
Austin, TX | June 2023 – Present
- Designed and deployed a unified modern data warehouse platform on Snowflake, consolidating 14 disparate data sources and reducing enterprise ETL pipeline maintenance hours by 34%.
- Architected real-time streaming data pipelines using Apache Kafka and Apache Spark, enabling immediate analytics on 1.2M daily transactions and reducing data latency from 4 hours to under 3 minutes.
- Implemented a column-level access control policy and data masking strategy, bringing the data platform into 100% compliance with GDPR standards and reducing security audit preparation time by 40%.
- Led schema redesign and indexing optimizations for a 40TB PostgreSQL production database, reducing query execution times by 42% and monthly cloud infrastructure hosting costs by $18,000.
Senior Data Engineer — Meridian Cloud Corp
Denver, CO | August 2020 – May 2023
- Built and optimized 45 cloud-native ELT pipelines using dbt and AWS Glue, ingest-testing 250M rows of daily application data and decreasing database ingestion failures by 75%.
- Re-architected legacy SQL Server schemas into highly optimized Star schemas, decreasing average business intelligence dashboard load times by 55% for 120 internal stakeholders.
- Coordinated with 4 product teams to establish unified data definitions, creating an enterprise data dictionary that cut new software development onboarding time by 30%.
- Configured automated data quality checks and alerts using Apache Airflow and Great Expectations, catching schema drifts and reducing data pipeline errors by 62%.
Education
Bachelor of Science in Computer Science
Vanguard Institute of Technology · Denver, CO · 2020
Skills
Data modeling, Dimensional modeling, Star schema design, ETL/ELT pipelines, Data governance, Data warehousing, Database performance tuning, AWS, GCP, Snowflake, Databricks, PostgreSQL, Apache Kafka, Apache Spark, dbt, Apache Airflow, ERwin Data Modeler, SQL, Python
Projects
Enterprise Data Lakehouse Migration
Role: Lead Data Architect
Tools: Snowflake, Databricks, dbt, Apache Airflow, AWS
Led the migration of 8 legacy on-premises databases to a cloud lakehouse system, finishing 2 weeks ahead of schedule and lowering annual infrastructure costs by 26%.
Real-Time Fraud Analytics Infrastructure
Role: Data Architect
Tools: Apache Kafka, Apache Spark, Scala, PostgreSQL, Terraform
Designed a scalable event-driven ingestion engine processing 5,000 events/second, reducing detection latency of security events by 78%.
Certifications
- Certified Data Management Professional (CDMP) (2023)
- AWS Certified Solutions Architect – Associate (2021)
Additional information
- Languages: English (Native), French (Conversational)
- Volunteer Work: Tech mentor for local underrepresented students in computer science (2021–Present)
- Availability: 3 weeks notice
Job Market Insights
Market data and opportunities for
Data Architect
Job Market Insights
$115,000
-
$185,000
Avg:
$146,000
Growth Outlook:
The demand for Data Architects in the United States is driven by the exponential growth of enterprise data and the necessity for robust cloud infrastructure. As organizations migrate to multi-cloud environments, architects play a critical role in designing scalable, secure, and compliant data pipelines. While database administration is increasingly automated, the strategic design, governance, and integration of complex data schemas remain highly human-dependent. The U.S. Bureau of Labor Statistics projects a steady 4% employment growth from 2024 to 2034.
4% growth over 10 years
Key Skills Required
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