Dice
Senior Data Architect - Data Analyst
Dice, Seattle, Washington, us, 98127
Dice is the leading career destination for tech experts at every stage of their careers. Our client, New Digital IT Inc., is seeking the following. Apply via Dice today!
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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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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