Data Architect

Position Description

Our ideal Advanced Data Engineer is a collaborative leader skilled in data analytics, data modeling, and database design. You’re also committed to data integrity, are highly analytical, and can work on multiple projects at once. You’ll use your skills to develop, monitor, and manage data systems across our platform. You will work on a variety of projects supporting the Marketing organization.

Key Responsibilities And Accountabilities

Design, build, and measure complex ETL jobs to process disparate data sources and form a high integrity, high quality, clean data asset.

Working on a range of projects including batch pipelines, data modeling, and data mart solutions you’ll be part of collaborative project teams working to implement robust data collection and processing pipelines to meet specific business need.

Goals

Design, build, and measure complex ETL jobs to process disparate data sources and form a high integrity, high quality, clean data asset.

Executes and provides feedback for data modeling policies, procedure, processes, and standards.

Assists with capturing and documenting system flow and other pertinent technical information about data, database design, and systems.

Develop data quality standards and tools for ensuring accuracy.

Work across departments to understand new data patterns.

Translate high-level business requirements into technical specs.

Required

Knowledge, skills and abilities ,Education & Experience

Bachelor’s degree in computer science or engineering.

10+ years of experience with data analytics, data modeling, and database design.

10+ years of coding and scripting (Python, Java, Scala) and design experience.

Having experience working on Clickstream data.

Experience with ETL/ELT methodologies and tools.

Experience with Vertica OR Teradata

Expertise in tuning and troubleshooting SQL.

Strong data integrity, analytical and multitasking skills.

Excellent communication, problem solving, organizational and analytical skills.

Able to work independently.

Additional / Preferred Skills

Familiar with agile project delivery process.

Knowledge of SQL and use in data access and analysis.

Experience with Airflow.

Ability to manage diverse projects impacting multiple roles and processes.

Able to troubleshoot problem areas and identify data gaps and issues.

Ability to adapt to fast changing environment.

Experience with Python.

Basic knowledge of database technologies (Vertica, Redshift, etc.).

Experience designing and implementing automated ETL processes.