Data Architect

This position has been filled - Job#: 453390223

Job Summary

Responsibilities

• Create a POC to validate centralization data lake plan


• Partner with cross functional teams to build shared goals


• Build relationships across the entire organization with all major stakeholders


• Manage data warehouse plans and roadmap across the organizaiton


• Ensure high levels of data quality across the product vertical and related business areas


• Manage the delivery of data dashboards and visualizations


• Develop Data Quality checks for source and target data sets. Develop UAT plans and conduct QA.


• Develop and maintain ETL routines using ETL and orchestration tools

Additional Responsibilities

• Eventually Build a high-quality BI and Data Warehousing team


• Manage development of data team resources to support business iniatives

Qualifications

• Experience scaling and managing a small team


• 4+ years work experience in building data warehousing environments. Strong background of data modeling principles including Dimensional modeling, data normalization principles etc.


• 3 + years experience with BigData technologies and working with traditional relational databases and big data distributed systems such as Spark, Hadoop / Hive, BigQuery, Redshift, etc.


• 2+ Years of experience programming languages (ie Python, Ruby, Java).


• 2+ years of experience with workflow processing tools (ie. Step Functions, Azkaban, etc)


• Strong Project and Program Management experience.


• Proven experience communicating and collaborating with stakeholders across multiple functions


• Experience with Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase)


• Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc.


• Ability to think strategically, analyze and interpret market and consumer information.


• Strong communication skills – written and verbal presentations.


• Excellent conceptual and analytical reasoning competencies.

Education and Experience

• Bachelor’s Degree in an analytical field such as economics, mathematics, or computer science is desired.


• 6+ years of relevant Professional experience. 3+ Years in Direct people management capacity