Data Architect

  • Snoqualmie, WA
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
$80,000+
Full Time
Accepts corp to corp applications

Skills

API
Amazon Kinesis
Amazon Redshift
Amazon Web Services
Analytical Skill
Analytics
Apache Airflow
Apache Avro
Apache Hadoop
Apache Hive
Apache Kafka
Apache Parquet
Apache Spark
Big Data
Cloud Computing
Collaboration
Data Architecture
Data Governance
Data Integration
Data Modeling
Data Quality
Databricks
ELT
Extract
Transform
Load
IT Management
Java
Meta-data Management
Microsoft
Microsoft Azure
Microsoft SQL Server
MySQL
PostgreSQL
Privacy
Python
Real-time
Regulatory Compliance
Relational Databases
Scala
Snow Flake Schema
Star Schema
Strategic Leadership
Streaming
Technical Drafting
Unstructured Data

Job Details

Job Description:

Job Title: Data Architect

Location: Snoqualmie, WA (5 Days Onsite in a week)

Mandatory Skills: Data Architecture, Data Pipeline, data lakes

Data Architect (7+ Years Experience)-1 position

We are 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.

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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

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Required Skills & Experience

  • 7+ years in Data Architecture, including hands-on work with modern data stacks
  • Deep experience with:

o Relational databases (PostgreSQL, SQL Server, MySQL, etc.)

o Big Data platforms (Spark, Hadoop, Hive)

o Cloud-native data tools (Azure Synapse, Databricks, Snowflake, AWS Redshift)

o 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)
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