Senior Data Engineer/Analytics Engineer

We are looking for a seasoned data engineer to lead the data engineering function and to provide hands-on leadership in building the company’s modern data stack. The team lead will work closely with business functions, Technology, Analytics as well as Data Scientist teams to understand data requirements and provide data solutions. The idea candidate will be experienced in transforming data infrastructure and architecture for a data-driven company and be passional about growing a function through the start-up phase into a mature organization.

Responsibilities:

Design, develop and support data pipelines, warehouses and reporting systems to solve business operations, users and product problems
Work closely with product engineers and product managers to create, test and maintain data models
Assist in the implementation of a modern data stack and platform from the ground up.
Collaborate cross functionally to ensure business and analytics data requirements are supported with robust, scalable, and adaptable data solutions.
Ensure the best data management and governance practices in data quality, documentation, security, and privacy.
Build, develop, and manage a high-performing data engineering team through direct coaching and mentorship.
Provide data and analytics support across the company
Additional duties as assigned

Qualifications:

Data driven mindset with a degree in Computer Science, Analytics, Engineering, or an equivalent technical field.
3+ years of hands-on experience in data engineering including data modeling, ETL/ELT, data warehouse/lake management, and data platform development for analytics and data science.
Experience with building modern cloud-based data stack and platform with the following technologies: Fivetran/Stitch, Dbt, Snowflake/Redshift, Looker/Tableau, Airflow/Airbyte, Kafka, Kubernetes
Experience with building data pipelines using Python and SQL
A proven track record of data engineering leadership through critical thinking, thought leadership, technical skills, and relentless drive for data stack development.
Exceptional ability to communicate complex ideas effectively, both verbal and written, to influence cross-functional stakeholders.
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions.

The Nice To Haves:

While not a hard requirement, experience with crypto based products and services or Ethereum and the crypto markets is a plus.
Practical hands on experience with data lake / schema discovery systems and relevant technologies (Confluent/Kafka, Spark, Athena/Glue, DynamoDB etc.)
Familiarity with the AWS ecosystem (Lambda, RDS, Redshift etc.)
Experience working for a rapidly growing startup, and managing change
Experience with Google Ads/B2C businesses

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