What are we building?

At Hard Rock Digital, we're committed to becoming the premier online sportsbook, casino, and social casino company globally. We're assembling a dynamic team passionate about learning, operating, and building innovative products and technologies for millions of users. We value each customer's interaction, experience, behavior, and insights, ensuring we always act with authenticity.

Drawing inspiration from the iconic Hard Rock brand and the Seminole Tribe of Florida, Hard Rock Digital embodies a legacy of excellence in gaming, entertainment, and hospitality. We're now bringing that legacy to the digital space — are you ready to be part of our journey?

What’s the position?

We are seeking a highly skilled and visionary Technical Manager of Data Engineering and Analytics to lead and drive our data strategy, engineering, and analytics initiatives. As the Technical Manager, you will play a pivotal role in shaping our data-driven decision-making processes, ensuring data accuracy, reliability, and accessibility, and driving innovation in data management, analytics and applications of data science. This is a strategic leadership role that requires a combination of technical expertise, strong leadership capabilities, and a deep understanding of modern data engineering and analytics practices.

Key Responsibilities:

Leadership and Strategy:

• Define and execute the organization's data engineering and analytics strategy, aligning it with overall business goals and objectives.
• Lead a high-performing team of data engineers, analysts, and scientists, fostering a culture of collaboration, innovation, and continuous improvement.
• Provide thought leadership and stay abreast of emerging trends, technologies, and best practices in data engineering, analytics, and machine learning.
• Mentor and connect rising data engineer talent to build a community of practice and career path pipelines from junior to principal.

Data Architecture and Engineering:

• Assist Subject Matter Experts in maintaining and enhancing enterprise data architecture.
• Manage delivery and development of data pipelines, ETL processes, and data warehousing solutions.
• Ensure products consistently meet data quality, integrity, and reliability goals.
• Identify initiatives to continuously improve efficiency and reduce latency for real-time and batch processing.

Data Analytics and Insights:

• Collaborate with business stakeholders to define and prioritize data analytics requirements, ensuring the delivery of actionable insights and meaningful visualizations.
• Develop and manage advanced analytics models and predictive algorithms to uncover insights, trends, and opportunities from large and complex datasets.
• Enable self-service analytics capabilities for various business units, empowering data-driven decision-making across the organization.

Data Governance and Compliance:

• Establish and enforce data governance practices, data security protocols, and data privacy regulations to ensure compliance and protect sensitive information.
• Implement data cataloguing and metadata management processes to enhance data discoverability and lineage tracking.
• Work closely with legal and compliance teams to ensure adherence to data protection and regulatory requirements.

Cross-functional Collaboration:

• Partner with IT, software engineering, and other departments to integrate data engineering and analytics solutions seamlessly into the technology landscape.
• Collaborate with Product Management and Research teams to support data-driven product development and innovation.
• Communicate complex technical concepts to non-technical stakeholders and foster a culture of data-driven decision-making.

What are we looking for?

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. MBA is a plus.
• Proven track record of leading and managing data engineering and analytics teams in a fast-paced and dynamic environment.
• Strong expertise in data engineering, data architecture, ETL processes, and data warehousing concepts.
• Proficiency in modern data analytics tools and technologies (Python, Spark, SQL), data visualization tools (e.g., Tableau, Power BI), and machine learning frameworks.
• Exposure to and interest in the following technologies:
• AWS Serverless and serverless-supported languages
• SQL and/or NoSQL experience (ex, MySql, Cassandra, DynamoDB, Snowflake)
• Streaming technologies (Amazon Kinesis, Kafka)
• Message Queues (SQS, RabbitMQ, ActiveMQ)
• Data automation tools (DBT)
• Familiarity with MarTech tools a plus (eg Segment, Amplitude, Salesforce, Braze)
• Experience with cloud platforms such as AWS, Azure, or GCP and their data services.
• In-depth understanding of data ops, data governance, data security, and compliance best practices.
• Excellent communication, leadership, and stakeholder management skills.

What’s in it for you?

We offer our employees more than just competitive compensation. Our team benefits include:

• Competitive pay and benefits
• Flexible vacation allowance
• Startup culture backed by a secure, global brand

Roster of Uniques

We care deeply about every interaction our customers have with us and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer)