Are you an experienced and accomplished data engineering leader looking to apply your expertise to support both large and small organizations in solving complex and interesting data and analytics challenges using the best modern tools?

Aimpoint Digital is a best-in-market and fully-remote data and analytics consultancy. We partner with the most innovative cloud data platform providers within the data engineering space to solve our clients' toughest business problems. Our approach to data engineering blends modern tools and techniques with a respect for the foundations of our craft.

You will:

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Engage and lead multi-disciplinary teams to solve complex use-cases across a variety of industries
• Manage high-priority accounts that can range from global leaders to emerging disruptors within our target verticals as they look to modernize their data Infrastructure environments, develop commercial data products, and operationalize their data assets for the application of artificial intelligence
• Help establish and expand our commercial offerings within our priority cloud data platform partnerships
• Assess existing analytics infrastructure and business processes and advise on best-in-class modern solutions
• Design the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration tools
• Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt

Who we are looking for:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. We are widely regarded as a top consulting destination for engineering talent, and a "tiger team" of resources that take on challenging, yet fulfilling data engineering cases that are critical to our client’s success. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better, and enjoys the commercial aspect of our business, and what it takes to grow both our market presence and within our cloud data platform partnerships.

As a Sr. Director, Cloud Data Platforms, you will also be expected to own and manage your client accounts, run specific engagements, take part in the overall development of our practice and our people, be a key contributor in business development, and contribute innovative ideas and initiatives to our company.

• Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience
• Strong written and verbal communication skills
• Experience managing stakeholders and collaborating with customers
• Experience scoping data engineering and Infrastructure cases, developing proposals, and presenting to key stakeholders
• Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)
• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)
• 5 years working with relational databases and query languages
• 5 years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• 5 years data modeling (e.g. star schema, entity-relationship)
• 3 years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages is desirable
• Expertise in software engineering concepts and best practices and/or DevOps is desirable
• Experience preparing data for analytics and following a data science workflow to drive business results is desirable

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.