Dexian · 1 day ago

Senior Data Architect

California, United States

Full-time

Remote

Senior Level, Lead/Staff

$145K/yr - $160K/yr

10+ years exp

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Responsibilities

At least 10 years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries

5+ years proven data modeling skills - must have demonstrable experience designing models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)

2-3 years' experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred

Expert in engineering data pipelines using various data technologies - ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience

Hands on data warehouse design, development, and data modeling best practices for modern data architectures

Highly proficient in at least one of these programming languages: Java, Python

Experience with modern data modelling tools, data preparation tools

Experience with adding data lineage, technical glossary from data pipelines to data catalog tools

Highly proficient in Data analysis - analyzing SQL, Python scripts, ETL/ELT transformation scripts

Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required

Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus

Self-driven individual with the ability to work independently or as part of a project team

Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred

Experience with Streamsets, dbt preferred

Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData PipelinesSQL QueriesData ModelingData WarehousingETL/ELTModern Data ArchitectureSnowflakeBig Data TechnologiesJavaPythonData AnalysisData OrchestrationDevOps/Data OpsHiveSparkData Preparation ToolsData LineageData Catalog ToolsCtrl-MApache AirflowMicroStrategyPower BIAgile EnvironmentRetail DomainStreamsetsDbt

Required

At least 10 years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries

5+ years proven data modeling skills - must have demonstrable experience designing models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)

2-3 years' experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc.

Bachelor’s degree in computer science, Information Systems, Engineering, Business Analytics, or Business Management