Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Chabez Tech LLC, is seeking the following. Apply via Dice today! Role: Senior Data Architect Location Snoqualmie, WA - 5 Days On-Site - Only LOCAL CANDIDATES Client is looking for a senior Data Architect with 7+ years of proven experience in designing, implementing, and optimizing data architecture for complex and large-scale systems. The ideal candidate will own the end-to-end architecture across structured, semi-structured, and unstructured data, and will work closely with engineering, analytics, and business teams to enable scalable data solutions. This role combines strategic leadership, hands-on technical design, and cross-functional collaboration to deliver modern, secure, and performant data platforms. Key Responsibilities Define and implement enterprise-level data architecture strategy Lead the design and implementation of data pipelines, data lakes, and data warehouses Build architectural patterns for data ingestion, transformation, governance, and cataloging Design schemas and optimize performance for analytical and operational workloads Define data quality, lineage, and metadata management frameworks Ensure compliance with privacy and security regulations (GDPR, CCPA, etc.) Collaborate with business stakeholders to gather data needs and translate them into scalable solutions Provide technical leadership to data engineers and guide best practices across systems Required Skills & Experience 7+ years in Data Architecture, including hands-on work with modern data stacks Deep experience with: • Relational databases (PostgreSQL, SQL Server, MySQL, etc.) • Big Data platforms (Spark, Hadoop, Hive) • Cloud-native data tools (Azure Synapse, Databricks, Snowflake, AWS Redshift) • Data lakehouse designs and lake formats (Delta Lake, Parquet, Avro) Strong background in ETL/ELT tools (e.g., Apache Airflow, Azure Data Factory, dbt) Solid understanding of API-based data integration, real-time streaming (Kafka, Kinesis), and batch pipelines Experience with data modeling techniques (3NF, star schema, data vault, etc.) Familiar with data governance tools like Collibra, Alation, or Microsoft Purview Proficient in at least one programming language (Python, Scala, Java) Must Have Skills Skill 1 Data Architecture 7+ years Skill 2 Data Pipelines: 7+ years Skill 3 Data Lakes: 7+ years Skill 4 Data Ingestion 7 + years Skill 5 Relational Databases : 7+ years Skill 6: ETL/ ELT Tools: 5+ years

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