Ref#: R0020584

Our mission.

As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.

The team.

We are a rapidly growing and highly capable engineering team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, publish their resumes, process their job applications, and connect them to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo and Hyderabad, we are improving people's lives all around the world, one job at a time.

The base salary range below represents the low and high end of the Indeed salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Long Term Incentive Plan units, an open Paid Time Off policy, and many region-specific benefits. 

Austin Base Salary Range: 138,000 - 174,000 USD per year

Your job.

As a Sr Data Architect working in big data at Indeed, your role will be a hybrid one. You will own the definition of data modeling standards for Indeed’s Data Warehouse, and you will provide technical guidance and support to Data Warehouse sprint teams.  Along the way you will mentor junior developers in order to help them grow their careers at Indeed. You have experience leading teams and setting clear goals and guidelines. Lastly you will educate and consult with product and business teams around the company to help them leverage the Data Warehouse in order to solve important business problems.  You know what it takes to deliver a highly scalable and flexible data warehousing solution that takes maximum advantage of Indeed’s strategic data assets and moves our business forward.

You will assist business teams in drawing insights from our data, teaching them how to use the data collected to help shape their decisions.  In addition you will mentor junior developers and help them grow in their careers at Indeed. Lastly, this role will be crucial in defining our standards for data warehousing and helping to make sure the data engineering teams are adhering to those standards.  You are someone who wants to see the impact of their work and make a difference every day. You have experience leading teams and setting clear goals and guidelines. You know what it takes to deliver quality reporting and business intelligence solutions to the organization. You understand the value and benefit of solid data practices and how to translate that into satisfied business partners.

About you.

Responsibilities

  • Primary contributor to the development of an Enterprise Data Model for Indeed

  • Overarching responsibility for implementation of the data model in Indeed’s data warehouse

  • Development of warehouse data modeling standards, and management of the associated review process

  • Participate in requirements gathering and analysis with Product and Analyst teams, in order to define warehouse projects based on business requests

  • Consultation with teams across the company on topics related to data architecture, data management, and data quality.

  • Provides education and mentoring to a team of data engineers


Qualifications

  • 7+ years in a Warehouse Data Architect or Data Architect role

  • 7+ years coding experience (java or python preferred)

  • 5+ years hands-on experience with big data technologies (Snowflake, Redshift, Hive, or similar technologies)

  • Expert level understanding of ETL fundamentals and building efficient data pipelines

  • Expert level understanding of Kimball design methodologies (star schema)

  • Strong communication and collaboration skills

  • Experience with Agile methodologies



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