Data Architect

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Elastic is a search company built on a free and open heritage. Anyone can use Elastic products and solutions to get started quickly and frictionlessly. Elastic offers three solutions for enterprise search, observability, and security, built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real time and at scale. Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe and is publicly traded on the NYSE under the symbol ESTC. Learn more at elastic.co.

We’re always on the search for amazing people. The Business Systems Team consists of people who have real passion for what they do and are masters at their craft. We reflect the larger company philosophy, to solve data problems, but focus internally on the systems we build and the internal partners we support. Agile in our processes, we strive to push the boundaries of our best-of-breed platforms to build an elite systems operation. Our team thinks smart, strategic and scalable, and will push you to do the same. In this role, you will drive both the continued expansion of our application portfolio and growth of your team.

Business Systems Overview

As a Data Architect, you will play a critical role in designing and implementing our data warehouse and data lake, which is heavily used across all the data teams in the company. You’ll be part of the Data & Integrations team, and responsible for the end-to-end process for our data solutions (Replication, governance, ETL, Python, Integrations, data modeling, semantic layer, data tuning, and performance, monitoring, data quality, etc.).  This role involves working with major SaaS platforms like, Google Big Query, GCS, Salesforce, Netsuite, Marketo and giving you the creative canvas to help Elastic be efficient and automated for years to come.

What You Will Be Doing:

  • Design and implement effective database/data lake solutions and models to store and retrieve company data
  • Define and implement optimal governance structures, architectural standards, and compliance processes within the data warehouse/data lake to ensure conformance of all technology projects.
  • Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
  • Maintain and develop the enterprise data management tools (data dictionary, data catalog)
  • Work with the enterprise data team and the business, to make sure we have all the data points in the data warehouse
  • Coordinate with other team members to reach project milestones and deadlines
  • Identify areas for improvement in current systems and recommend solutions to improve new and existing database systems
  • Work with BI teams on data design and data warehouse best practices
  • Understand the desired business strategy and outcome, and break it down into defined parts, including systems, processes, and functions
  • Lead API strategy: Translate and map business use cases into API architectural designs; apply critical and innovative thinking to technology strategies that further business objectives while keeping in mind performance, reliability, scalability, usability, security, flexibility, and cost
  • Understand and own document artifacts of the data warehouse architecture and interfacing systems including Salesforce, NetSuite, and Marketing tooling (this is not the entire list)
  • Load new data points into the data warehouse, using Python.

What You Bring Along:

  • 7+ years experience as a data architect 
  • 5+ years of experience with SQL (SQL, DML, DDL, Views, Stored Procedures, etc.)
  • 3+ years of experience working with Google Big Query
  • 2+ years of experience working with Cloud environments (GCP, AWS, Azure)
  • 2 + years of Data Engineering experience working with both distributed architectures, ETL, EDW, and Big Data technologies
  • 2+ years of experience with Python
  • Experience working with both structured and unstructured data sources using cloud analytics
  • Experience with DWBI modeling framework is highly regarded
  • Experience with Data Mapping and Modeling
  • Experience with Tableau is a plus
  • Experience with Data lake, data warehouse ETL build, and design is a plus
  • Experience with Google Cloud Storage is a plus
  • Experience with Salesforce is a plus
  • Ability to collaborate and communicate effectively across all levels of the organization; experience working effectively on virtual teams
  • Results-oriented with a demonstrated sense of urgency to drive multiple projects to successful completion
  • Demonstrated ability to succeed in driving projects when the approach, challenges, and key objectives start out very unclear

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

  • Competitive pay based on the work you do here and not your previous salary
  • Health coverage for you and your family in many locations
  • Ability to craft your calendar with flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Double your charitable giving - We match up to $1500 (or local currency equivalent)
  • Up to 40 hours each year to use toward volunteer projects you love
  • Embracing parenthood with minimum of 16 weeks of parental leave

The typical starting Total Cash Compensation range for new hires in this role is between $113,200 and $155,700, which consists of a Base Salary or a Base Salary plus a Target Commission, depending on the specific role. The Base Salary offered may vary depending on factors including skills and experience.

Additionally, this role is currently eligible to participate in Elastic’s equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within a holistic total rewards offering.

Different people approach problems differently. We need that. Elastic is committed to diversity as well as inclusion. We are an equal opportunity employer and committed to the principles of affirmative action. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. If you require any reasonable accessibility support, please complete our Candidate Accessibility Request Form.

Applicants have rights under Federal Employment Laws, view posters linked below:
Family and Medical Leave Act (FMLA) Poster; Equal Employment Opportunity (EEO) Poster; and Employee Polygraph Protection Act (EPPA) Poster.

Please see here for our Privacy Statement.

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