Enterprise Data Warehouse Solutions Architect

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Enterprise Data Warehouse Solutions Architect
at **MEMBERS ONLY**SIGN UP NOW***.
Mountain View, CA
BE PART OF BUILDING THE FUTURE.
Since our founding in 2009, **MEMBERS ONLY**SIGN UP NOW***. has empowered innovators to build a better world with data. In less than eight years, Pure reached $1B in sales, faster than nearly every enterprise company in history, and our incredible growth continues to outpace the competition.
Our mission? Deliver a simple, evergreen data platform that enables everyone to turn data into intelligence and advantage. The secret sauce? More than 3,000 team members (and growing!) around the world who join forces to invent the next big thing. And then the next one.
The world is experiencing a revolution driven by next-generation technology like AI, machine learning, virtual reality, quantum computing, and self-driving cars—all of which require unprecedented amounts of data. This sets the stage for Pure’s technology to grow exponentially in the coming years. 
We’ve only scratched the surface of our ambitions
, and as we continue to gobble up market share, we’re blazing trails and setting records:
For five straight years, Gartner has named Pure  a leader in the Magic Quadrant for Solid-State Arrays
 and in 2019, Gartner named Pure a leader in the Magic Quadrant for Primary Storage.
Our customer-first culture and unwavering commitment to innovation have earned us a 2019 Medallia  Net Promoter Score
, certified by Owen CX,  in the top 1% of B2B companies
Pure puts a  premium on the future
, investing 26% of revenue into R&D.
If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark.
SHOULD YOU ACCEPT THIS CHALLENGE...
The Enterprise Data Architect is responsible for design, development and expansion of data assets that support business intelligence, advanced analytics, and reporting. They will also develop, maintain, and support the enterprise data warehouse system, corresponding data marts, and data interfaces between operational systems. This Area Data Architect- modeler will analyze and review complex object and data models and the metadata repository to structure the processes and data for better management and efficient access. 
Key Job Responsibilities:
Own and develop technical architecture, design and implementation of big data platforms and business analytics solutions to empower your stakeholders to solve their data driven analytics and reporting needs.
Follows established Data Architecture Framework and Guidelines for the design, development, management, storage, access, navigation, movement, transformation and quality of corporate data assets.
Strong knowledge on Data Warehousing, Data Modeling Concepts, Data Architecture, Database design etc.
Strong experience in designing Conceptual, Logical, Physical data models.
Experience with integration of data from multiple data sources.
Ability to architect end-to-end data products and make the right choice of technology stack based on the use case.
Optimize new and current database systems.
Strong knowledge on Modeling tools such as Erwin or ER Studio, MS Visio etc.,
Strong experience in Reverse engineering and Forward Engineering and generating DDLs considering all the performance aspects.
Demonstrable experience in developing, publishing, and maintaining all documentation for data models that demonstrates data lineage.
Ability to quickly learn and adapt modeling methods from case studies or other proven approaches.
Strong experience in source data analysis and source to target/ETL mappings.
Performs the data analysis activities to capture data requirements clearly, completely and correctly, and represent them in a formal and visual way through the data models.
Creates semantically rich logical data models that define the Business data requirements and are independent of any technology solution (i.e. DBMS.)
Manages the life cycle of the data model from requirements to design to implementation to maintenance.
Looks for opportunities to provide data reuse, balancing the issues of centralization and replication.
Encourages the Business to manage data as an asset.
Ensures the preservation of strategic data assets as applications and technologies come and go.
Requires an in-depth understanding of the Business data needs and the ability to align those business needs with the overall Enterprise data vision.
Evaluates the use of data to the goals and practices of the Business in a way that provides clear results.
Acts as a liaison, deducing the data needs of a particular project or group and explaining the importance and use of the data most relevant to them.
Helps ensure the accuracy and accessibility of all “important” data and is responsible for knowing what data is “important” and why.
Compiles and maintains the schema definition for physical data models.
Reviews all physical data models with the data management committee before implementation.
Assists the ETL developers to help ensure that the Business data rules are implemented correctly and clarifies issues as they arise.
WHAT YOU'LL NEED TO BRING TO THIS ROLE......
5 years of experience data modeling data solutions including but not limited to : ODS, Data Warehouse, Data Integration Hub, OLTP/OLAP, or equivalent knowledge.
Strong understanding of relational database structures, theories, principles, and practices.
Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
Expertise in ETL/ELT Architecture and process designing, experience of implementation and performance tuning of mappings/jobs/transformations.
Experience with structured and unstructured data.
Experience in development of custom built BI and big data reporting solutions using tools like Tableau.
Big Data technologies experience such as Hadoop or HDInsight, Hive, Pig, Python, Spark, Oozie or any of the other tools with the Hadoop ecosystem.
Experience with end to end implementation of Snowflake cloud data warehouse and end to end data warehouse implementations on-premise.
Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe.
Excellent SQL skills and demonstrated ability to write complex SQL for purposes of analyzing data and/or evaluating how information needs might be translated into backend structures.
Experience with AWS data storage and management technologies such as S3.
Certified Snowflake cloud data warehouse Architect is a Plus.
Strong oral and written communication skills are required.
BA Degree or equivalent year of experience.
BE YOU—CORPORATE CLONES NEED NOT APPLY.
Pure is where you ask big questions, think differently, and make an impact. This is not just a job, but a place where you have a voice and can accelerate your career. We value unique thoughts and celebrate individuality, and with ample opportunity to learn, develop yourself, and expand into different roles, joining Pure is an investment in your career journey.
Through our Pure Equality program, which supports a flourishing field of employee resource groups, we nourish the personal and professional lives of our team members. And our Pure Good Foundation gives back to local and global communities through volunteering and grants.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.  
PURE IS COMMITTED TO EQUALITY.
Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. If you need assistance or an accommodation due to a disability, you may contact us at  ****

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