We are looking for a top notch Data Architect to lead our Data strategy and contribute to the most advanced Tech projects in Mindvalley, covering R&D and building the Mindvalley AI recommendation engine.

Mindvalley is the leading and most promising ed-tech company to date. We dominate the US market for Personal Growth Education. We are empowering athletes within every major US sports team and promoting successful learning strategies in major companies.

We're currently building the most advanced learning system - a version inspired by Ironman's “J.A.R.V.I.S.” which utilizes AI and augmented reality to provide customized learning. Turning anyone into a superhero.

We innovate tools that induce enlightenment within every aspect of human life. We are seeking the best engineers to build the best and most advanced education platform our species has seen. The goal to mark our success is: powering up to 100 countries, powering every Fortune 500 company, and progressing humanity towards a better future.

The Role

As a Senior Data Architect in Mindvalley you can expect to grow with an international team and work with state of the art tools and techniques. You will have the opportunity to work directly with our CEO and Tech leadership to bring to life the most impactful projects and ideas.

If you don't have senior or leadership experience yet you can still apply and you will be considered you for a mid-level role.

What makes Mindvalley one of the leading and most promising ed-tech?

You must have a solution oriented mindset and you are always looking for the absolute best solutions to solve problems, and are even more productive in a collaborative team environment. In this role it's essential to execute and communicate fast, as you’ll work on high priority initiatives.

Responsibilities

Collaborating with key stakeholders, executives, data engineers, and data analysts to perform data discovery and develop various objectives for data architecture and strategy
Leading data modeling and data warehouse analysis, architecture, design, and development, which includes but is not limited to, setting up data ingestion pipelines, data models/star schemas, and ETL/ELT processes
Developing data strategies that define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing the data
Collaborating with new and existing internal/external data vendors to understand data sourcing strategy, identify and collect required data, validate processes, and recommend data ingestion patterns and solutions
Providing expertise on dimensional modeling and database design best practices
Data wrangling of heterogenous data and explore and discover new insights
Lead and support mappings of data sources, transformations, and data movement
Support the business in designing and implementing the best Data model and database to support it, based on current and future business needs
Document the logical and physical requirements and maintains models to assist with the creation, maintenance, and optimization of databases
Assess database performance by developing a protocol for the measurement of results and identification of problem areas
Work with Risk & Compliance to secure databases by preparing access and control policies and procedures; implementing disaster recovery procedures
Support application design by contributing expertise to applications, operations, and technical support teams
Update job knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks etc.

Requirements

5+ years of hands-on experience in large-scale data architectures
5+ years writing and executing SQL queries
3+ years with highly-performing data pipes such as PubSub, Kafka, NATS or Kinesis
3+ years with ETL technologies
3+ years with Databases especially PostgreSQL (compulsory) and Graph Databases (eg. Neo4j)
Experience with distributed data processing systems such as Hadoop, Spark or Snowflake
Experience with Data Fabrics and data integration pipelines
Strong analytical problem solving and decision making
Strong communication skills, written and verbal.
Experience serving in a data modeling and data architect role for enterprise data modeling across multi-domain, multi-subject areas using Inmon and/or Kimball methodologies
Hands-on development using and migrating data to cloud platforms
Proficiency in relational database design and development
Experience with one of the data modeling/data cataloging tools
Experience with building and maintaining OLAP Tools
Experience with Cloud Ecosystems especially Google Cloud Platform (GCP)
Proven experience and track record of high standards of performance and professional growth;
Excellent skills in Database design & technology selection, DB Implementation, DB Management, Data Maintenance, Requirements Analysis, Database Security, Developing Standards, Database Performance Tuning, Operating Systems;

*if you don't meet all the requirements in terms of seniority, you can still apply and you might be considered for a mid-level role.

On the personal side:

You are excellent in both teamwork and independent delivery;
You have a strong attention to detail,
You work well under pressure developing key features for high volume business critical systems,
You are available to start remotely within 1-2 months.