Senior Data Architect - Data Analyst

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Location : Seattle - hybrid role

Enterprise Data Architect / Analyst

As a Data Architect, you will be responsible for the comprehensive solution and architecture of our Enterprise Data platform.

We are seeking an experienced professional with a track record of building solutions / platforms for startups. This role is in Delivery Engineering and Architecture, where you will be responsible for designing, implementing, and optimizing end-to-end data solutions that empower our organization to harness the full potential of data.

You will collaborate closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to drive innovation and ensure the seamless integration of data and analytics within our ecosystem.

If you are seeking a stimulating challenge, an opportunity for true ownership, and possess a background in overseeing extensive data engineering and operations, encompassing aspects such as real-time data acquisition, streaming data ingestion, data processing, large-scale data lake management, Enterprise Data Warehousing (EDW), and ensuring low-latency data delivery for both business reporting and analytical use cases, then we are eager to connect with you.

Within this role, you will encounter a multitude of opportunities to effect meaningful change across various dimensions, from technology enhancements and streamlined processes to the development and mentorship of talented individuals.

Your contributions will make a significant impact on our business and technology team, reaffirming our commitment to excellence.

What This Role Will Do

• Design and develop the data platform to efficiently and cost-effectively address various data needs across the business.
• Define the vision, requirements, and lead development of the Enterprise Data Lake focusing on the business needs.
• Inform and influence the overall Enterprise Data vision.
• Develop conceptual, logical, and physical data models, data dictionaries, data flows, and support the development of data strategies by building roadmaps and creating processes to meet current and future needs.
• Think of new ways to help make our data platform more scalable, resilient, and reliable and then work across our team to put your ideas into action.
• Help us stay ahead of the curve by working closely with data engineers, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically.
• Work closely with data analysts and business stakeholders to make data easily accessible and understandable to them.
• Develop and enforce data engineering, security, and data quality standards through automation.

Minimum Requirements

• 12+ years of prior experience in architecting and implementing data strategies.
• Expertise with Databricks, Snowflake, NoSQL databases.
• 5+ years of data architecture experience.
• 5+ years of experience with cloud data technologies including Snowflake, AWS, Spark, Apache Airflow.
• Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc.
• Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.).
• Experience with Confluent Kafka real-time data processing and API platforms.
• Experience in architecting data pipelines and solutions for streaming and batch integrations using tools / frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
• Hands-on experience in developing conceptual, logical, and physical data models.
• Experience with Master Data Management and Data Quality processes and tools.
• Strong expertise in data modeling, ETL processes, data integration, and data warehousing concepts.
• Knowledge of data governance and compliance practices.

Data Architecture, information architecture, enterprise data platform, data flow, data dictionary, data 2.0, Enterprise Data Architect, Senior Data Architect - Data Analyst.

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