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Data Architect/Modeler
Hybrid - Dublin, CA
Exp: 13 yrs
Required Skills:
SIGMA EXPERIENCE HUGE BONUS
Retail experience
Day to Day Overview
Data Modeling (50%): facts and dimensions, looking at tables, breaking them down.
Creating one big table. White table.
Denormalize.
All the modeling concepts in the resume.
Have they done snowflake schema.
Star schema.
Need a Data Modeler who also knows how to data architect.
Data architect how is my data going to flow. What are my different layers.
Real time streaming? Kafkfa. If it is batch streaming, will be using a different product.
Design thinking experience.
50% architect. 50% modeler. (maybe 20% coding).
Star schema. Data products. Data strategy. Cloud data warehouse architecture
Top Requirements (Must haves)
Data Strategy and Data Architecture is Biggest NEED.
Need someone to look at holistic approach at building modern data platform.
Experience modernizing the Data Ingestion. Data Transformation. Making data Available for insights.
10 years in-depth data engineering experience and execution of data pipelines, data ops, data observability, scripting and SQL queries
5 years proven data architecture experience - must have demonstrable experience with data architecture, accountable for data standards, designing data models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)
DBA is must have, they want someone with a architect background.
At least 3 years experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred.
Expert in engineering data pipelines using various data technologies ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience.
5 years hands on data warehouse design, development, and data modeling best practices for modern data architectures
Highly proficient in at least one of these programming languages: Java, Python
Experience with modern data modelling tools, data preparation tools
Experience with adding data lineage, technical glossary from data pipelines to data catalog tools.
Highly proficient in Data analysis analyzing SQL, Python scripts, ETL/ELT transformation scripts.
Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required.
Knowledge/working experience in reporting tools such as MicroStrategy, Power BI
Experience with Streamsets, DBT preferred.
Must have good soft skills.
Additional Qualifications (Nice to Haves)
Experience working in an Agile Environment preferred and experience with Waterfall
Bachelor s degree in computer science, Information Systems, Engineering, Business Analytics, Business Management
Self-driven individual with the ability to work independently or as part of a project team.
SIGMA EXPERIENCE HUGE BONUS
Retail experience
Streaming/Kafka
Additional Notes
Does not come from a Finance or Healthcare background!!!
Full Time
Business Services
$121k-152k (estimate)
04/26/2024
04/30/2024
next-gen-it.com
San Francisco, CA
<25
Business Services
The job skills required for Data Modeler include Data Modeling, SQL, Data Warehouse, Computer Science, Data Architecture, Data Analysis, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Modeler. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Modeler. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Modeler positions, which can be used as a reference in future career path planning. As a Data Modeler, it can be promoted into senior positions as a Data Modeling Analyst, Sr. that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Modeler. You can explore the career advancement for a Data Modeler below and select your interested title to get hiring information.
If you are interested in becoming a Data Modeler, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Modeler for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Modeler job description and responsibilities
Data modeling serves as a means to complement business modeling and to work towards generating a sufficient database.
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They also maintain the data models they create, define data modeling and design standards, and evaluate any existing data systems.
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They develop best practices for standard naming conventions and data coding to ensure consistency of data models.
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They evaluate existing data systems to design and build databases that can be useful for a variety of purposes.
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They may have to work with other teams to create data models and data flows.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Modeler jobs
Top companies and start-ups choose Toptal data modeling freelancers for their mission-critical software projects.
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As soon as a novice modeler starts their training period, they are assigned to an experienced mentor.
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When needed, they perform reverse engineering of physical data models from databases and update and optimize local and metadata models.
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Data modelling can also be used to reverse-engineer the efforts of programmers and extract models from existing systems.
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Choose one or more potential models and algorithms.
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Step 3: View the best colleges and universities for Data Modeler.