Data Architect
Data is transforming the way businesses think, decide and act. SERV Holdings values collaboration and the ability to communicate insights that drive decisions. A successful candidate will have a strong desire to make an outsized contribution to organizational transformation.
As a Data Architect, you will be developing the foundation upon which advanced analytics are built. Demonstrating high performance, in terms of requests per second as well as overall throughput, is an important element of the role.
Duties and Responsibilities
As a professional, you will be responsible for ingesting, cleansing, and representing data for the analytics team. Duties include establishing conventions and making decisions regarding normalization and calculated data spaces. The following lists expectations of the role:
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Identify, collect, and leverage internal and external sources of data
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Process, cleanse, and validate the integrity of data to be used for analysis
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Establish standards regarding dimensions, facts, views, and calculated data spaces
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Demonstrate governance for data definitions and dictionaries
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Understand the tradeoffs and when to deploy data warehouse vs. data lake
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Expose seamless interfaces between structured and unstructured data
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Perform additional data processing calculations as needed for efficiency
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Establish and maintain ETL between primary and secondary systems
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Transform data into a new format to make it more appropriate for analysis
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Collaborate with Business Leaders, IT teams, and individuals throughout the organization to identify opportunities to leverage data to drive improved business decisions
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Optimize SERV Holdings's business to improve the experience for consumers, partners, and associates
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Skills and Abilities
A data architect's job is to provide the data used the business intelligence and data science teams. The following lists common skills and abilities:
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Problem Solving: ability to work through problems methodically to arrive at optimal solutions. Independent thinking and a comfort with ambiguous requirements is a must.
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Programming Skills: knowledge of scripting languages like JavaScript and Python as well as database query languages like SQL, Hive, and Pig.
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Data Cleansing: proficiency in handling imperfections in data such. Collaborate with team regarding when to stage raw data versus methods for handling noisy or inconsistent data.
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Tools: ability to recommend the right tools for any given task and guiding organizational thinking on best practices.
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Communication: ability to effectively communicate highly complicated, technical, and detailed findings to end users in all areas of our business.
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Team Ethos
As a team, we trust each other by default. Second guessing motives takes time, and we've got places to go. Correspondingly, we share our work and are proud to demonstrate our accomplishments. We have a bias for action and see process as a tool, not goal. Humble, hungry, and honest - we are endlessly curious and reaching out to achieve ever higher goals.
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SERV Marketing is a cutting-edge automotive marketing company founded in 2023 under the SERV Holdings family. We are dedicated to helping our dealers capture and convert more customers through innovative, data-driven marketing strategies. SERV Marketing understands that the success of any marketing depends on the ability to leverage data and insights to optimize performance and maximize ROI. Our team has decades of experience in helping dealers' market effectively and creating solutions that are tailored to each client's unique needs. At SERV Marketing, we are committed to being a partner to our dealers and help them realize the most out of their marketing budgets by delivering results that drive success and revenue.
Please send your information & answer the following questions with an attached cover letter and resume.
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Your full name
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Position that you are applying to
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Best reachable email address & phone number
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LinkedIn URL
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What interests you most about our company?
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How were you referred to us?
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Attached cover letter & resume