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Data Architect
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Jobs via Dice Location: Snoqualmie, WA (5 Days Onsite in a week) Overview
We are seeking a senior Data Architect with 7+ years of proven experience in designing, implementing, and optimizing data architecture for complex and large-scale systems. The 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 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) ETL/ELT tools ( Apache Airflow, Azure Data Factory, dbt) API-based data integration, real-time streaming (Kafka, Kinesis), and batch pipelines Data modeling techniques (3NF, star schema, data vault) Familiar with data governance tools like Collibra, Alation, or Microsoft Purview Proficient in at least one programming language (Python, Scala, Java) Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x #J-18808-Ljbffr
Data Architect
role at
Jobs via Dice Location: Snoqualmie, WA (5 Days Onsite in a week) Overview
We are seeking a senior Data Architect with 7+ years of proven experience in designing, implementing, and optimizing data architecture for complex and large-scale systems. The 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 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) ETL/ELT tools ( Apache Airflow, Azure Data Factory, dbt) API-based data integration, real-time streaming (Kafka, Kinesis), and batch pipelines Data modeling techniques (3NF, star schema, data vault) Familiar with data governance tools like Collibra, Alation, or Microsoft Purview Proficient in at least one programming language (Python, Scala, Java) Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x #J-18808-Ljbffr