• The Data Engineer is responsible for monitoring, expanding, and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. • Develop, test, and maintain data pipelines to support data integration and processing. • Assist in the design and implementation of data models and data warehousing solutions. • Collaborate with data scientists and analysts to understand data requirements and ensure data is accessible and reliable. • Monitor data pipelines and systems, troubleshooting issues as they arise. • Work with senior data engineers to optimize data processes and infrastructure. • Ensure data quality and integrity through regular audits and validations. • Contribute to the documentation of data processes and best practices

Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. Since partnering with Databricks in 2019, Lovelytics has experienced exponential growth, growing from 50 people to over 500 over the past 3 years. Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services. We’re looking for a Data Governance Architect to formulate data and AI governance strategies aligned with business objectives and industry best practice for our clients. You’ll define technical strategies, architect data platforms, and guide delivery teams to implement best-in-class ingestion, transformation, and storage solutions on the cloud. You’ll also partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ Governance expertise. This role is open to remote candidates in the U.S. and Ontario, Canada. You’re also welcome in any of our offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto! Primary Responsibilties: - Data and AI Governance Strategy: Formulating data and AI governance strategies aligned with business objectives and industry best practices. - Create, socialize, and implement data governance policies, procedures, and frameworks for clients while ensuring compliance. - Introduce emerging technologies and methodologies for completion of data governance tasksand capabilities. - Developed and execute data governance and/or AI Governance strategy that improved data discoverability, data quality, accessibility, usability, AI use case evaluation, and AI readiness. - Lead the successful migration of complex data architecture from on-premises to cloud environments. - Establish and enforce data governance practices resulting in improved data security and compliance. - Introduce containerization to the organization, enhancing scalability and deployment efficiency. - Mentor engineers, review architectures and code, and guide teams through implementation. - Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements - Create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs Required Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in data governance with 4+ years in a client facing role, preferably in a professional services firm - Mastery in data governance capabilities as defined by the DAMA-DMBOK - Certified in governance toolsets such as Unity Catalog, Atlan, or Anomalo. - Expert knowledge of Databricks and Spark (required) - Experience creating proofs of concept, technical presales presentations, and pricing for engagements - Strong client-facing communication skills with the ability to influence technical and executive stakeholders - A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian

• Evolve engineering and data enrichment pipelines across the organization. • Optimize Python code to ensure scalability and computational efficiency. • Implement and refactor agents and processes for deployment in cloud environments (GCP). • Ensure validation and architecture of robust cloud solutions. • Collaborate across varied initiatives (hybrid profile) to support development of new products and data quality.

ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world’s largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you’re an ambitious individual looking for a career that is as rewarding as it is challenging, you’ve come to the right place. About The Role: The Senior DataOps Engineer I will be responsible for managing the full data lifecycle including designing and implementing data pipelines, the associated infrastructure, and collaborating with business stakeholders to ensure data requirements are met. The role will involve the end-to-end management of data-related infrastructure and applications, ensuring that data is available, secure, and high-quality for analysis and decision-making. Given the variety of data that will be processed it is expected that this role will have familiarity with and assist in maintaining our data collection services and infrastructure. Some of the key responsibilities you should expect are the following: ● Interpreting business needs to facilitate data collection, pipelines, and processing ● Ensuring the robustness of systems and services ● Problem management (issue tracking, ticketing) ● Change management (risk mitigation) ● Effective in a highly collaborative cross functional team environment using Git with a Pull Request workflow ● Exhibit a desire for building software sustainably with modern techniques and industry best practices ● This role will need to interface with various business stakeholders to understand their data requirements in order to effectively solve their needs ● And other duties as assigned About You: ● Have 4-6+ years of experience in the field of Software Engineering ● Python ● ETL experience (Luigi/Airflow) ● Google BigQuery experience ● Data Warehouse experience (GCP based preferred) ● Linux SysAdmin familiarity ● Cloud provider experience (GCP preferred) ● SQL and RDB experience (PostgreSQL preferred) ● Data Reporting/Visualization experience (Grafana, Tableau, Metabase) Nice to Haves: ● Time Series DB experience (InfluxDB preferred) ● DevOps experience ● A love of Factorio ● Bitcoin/Crypt ABOUT THE WORK ENVIRONMENT​​​ This role is remote or in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WHAT MAKES HUT 8 A GREAT PLACE TO WORK Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality. At Hut 8, you will have the opportunity to: ▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting ▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government ▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team ▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure