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Data Architect (Remote)

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Texas (USA), United States

Offer summary

Qualifications:

Strong collaborator with keen attention to detail, Outstanding verbal and written communication abilities, Deep knowledge of multiple data architectures, Experience with Snowflake, Databricks or large data platforms preferred, Proficiency in SQL, Python, and big data tools.

Key responsabilities:

  • Execute POCs for our data platform
  • Set data standards within Data teams
  • Implement selected data platform and reporting solutions
  • Identify areas for improvement in the data platform
  • Partner with Information Security and Infrastructure
Teaching Strategies, LLC logo
Teaching Strategies, LLC E-learning SME https://teachingstrategies.com/
201 - 500 Employees
See more Teaching Strategies, LLC offers

Job description

Be a Part of our Team!

Join a working family that is dedicated to the mission of the work we do!

Teaching Strategies is an innovative edtech organization focused on connecting teachers, children, and families. As front runners in the early childhood education market, we build dynamic, top-quality digital products that integrate all of the essential elements of a high-quality solution: curriculum, assessment, professional development, and family engagement. We are building a team of results-oriented individuals who will thrive in a collaborative, work-hard/play-hard culture. We pride ourselves on the impact we have on the early childhood field through supporting teachers who are doing the most important work there is, teaching children to become creative, confident thinkers.

Position Overview

Data is foundational to our success. In close partnership with the VP of Data and AI/ML, the Data Architect will be a key player in designing the data architecture to achieve our data strategy. Initially focusing on the needs of our Reports Modernization, you will collaborate with the Senior Manager of Data and the data engineers to explore the right data platform patterns through proof-of-concepts and execute on that vision. You will partner with our data analysts to detail data models that will scale to meet our customers' expanding reporting needs. These efforts will reduce engineering time in data ingestion and transformation stages and help us create a process that allows rapid creation of customer facing reports.

As you grow in your role, you will explore the needs of the business and the engineering organization as we grow domestically and internationally. Along with our UI experts, you will identify reporting frameworks or BI tools to achieve our growing reporting needs. You will work to broaden the knowledge of our data, standardize data transformations, and influence data handling across the company. With your passion for data, you will be able to demonstrate your exceptional problem-solving skills and articulate intricate technical details with clarity while leaning heavily on your ability to collaborate and be a team player. Come join our team; we can't wait to work with you!

Specific Roles & Responsibilities

  • Execute POCs to inform our path forward for our data platform
  • Set data standards within the Data teams and influence data patterns across the engineering organization
  • Work closely with members of the data team to implement the selected data platform, reporting framework and BI solutions
  • Identify areas for improvement in our data platform, visualizations, and data patterns
  • Partner with Information Security to protect the security of our data and PII
  • Partner with Infrastructure to develop and deploy new services and 3rd party tooling

Qualifications

  • Strong collaborator with keen attention to detail
  • Outstanding verbal and written communication abilities
  • Deep knowledge of multiple data architectures, including the medallion and data lakehouse architectures
  • Experience identifying and implementing data platforms, reporting frameworks and BI tools
  • Experience standing up and utilizing Snowflake, Databricks or large data platforms is preferred
  • Hands on experience in building and optimizing 'big data' pipelines and architectures
  • Knowledge of AWS and GCP cloud services
  • Proficiency in SQL, Python, and other data processing languages
  • Expertise with Spark, EMR and other big data tools like Hadoop, Delta Tables, Kafka, etc.
  • Solid grasp on data modeling, data warehousing, and ETL techniques
  • A bachelor's degree or equivalent experience in computer science, engineering, or a related field; master's degree preferred

Why Teaching Strategies

At Teaching Strategies, our solutions and services are only as strong as the teams that create them. By bringing passion, dedication, and creativity to your job every day, there's no telling what you can do and where you can go! We provide a competitive compensation and benefits package, flexible work schedules, opportunities to engage with co-workers, access to career advancement and professional development opportunities, and the chance to make a difference in the communities we serve.

Let's open the door to your career at Teaching Strategies!

Some additional benefits & perks while working with Teaching Strategies

Teaching Strategies offers our employees a robust suite of benefits and other perks which include:

  • Competitive compensation package
  • Employee Equity Appreciation Program
  • Health and wellness insurance benefits
  • 401k with employer match
  • Flexible work environment
  • Unlimited paid time off (which includes paid holidays and Winter Break)
  • Paid parental leave
  • Tuition assistance, professional development, and opportunities for career growth
  • Best in class technology equipment for every employee
  • Penthouse suite in downtown DC seconds away from Washington Nationals Stadium and Audi Field

Teaching Strategies, LLC is committed to creating a diverse workplace and is proud to be an equal opportunity employer of Minorities, all Genders, Protected Veterans, and Individuals with Disabilities.

Equal Employment Opportunity (EEO)

Family and Medical Leave Act (FMLA)

Employee Polygraph Protection Act (EPPA)

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
E-learning
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Detail Oriented
  • Problem Solving
  • Verbal Communication Skills

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