Job description

Are you an accomplished, technical Cloud Infrastructure leader looking to apply your expertise in support of both large and small organizations in solving complex and interesting architecture challenges using the best modern tools?

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

As a Principal Cloud Infrastructure Engineer 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 cloud Infrastructure environments, develop repeatable deployment frameworks, and operationalize their cloud environment for the application of artificial intelligence
Help establish and expand commercial offerings within our priority cloud data platform partnerships (namely AWS)
Assess existing cloud infrastructure and business processes and advise on best-in-class modern solutions
Design the cloud architecture, building data ingestion and storage protocols, and ensuring best-in-class integration with modern data platforms (e.g. Snowflake, Databricks)
Work with common AWS infrastructure stack like Kinesis, IoT Core, Glue, Kafka, SageMaker, Redshift and ensure the environment adheres to best-in-class security, governance and monitoring principles (e.g. AWS IAM, Artifact, CloudWatch, CloudTrail).
Be joining at the ground level for building a repeatable services and delivery frameworks for cloud infrastructure consulting services

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, with a proven track record of building either a practice, or commercial offerings from the ground up. Someone who loves modern technologies with an eye for streamlining data collection and distribution processes. You enjoy working with data to build analytical tools that business users can leverage daily to do their jobs better and enjoy the commercial aspect of our business. You understand what it takes to grow both our presence within the services market and within our cloud partnerships.

As a Principal Cloud Infrastructure Engineer, you will be expected to be ‘the face’ of our newly launched Infrastructure Engineering discipline. We have engineers with experience in building cloud architectures, primarily in AWS; what we need is someone who understand the market, has a proven track record of building (and maintaining) cloud solutions, that can build and grow this practice from the ground up. You will work client accounts, run engagements and take part in the overall development of this discipline and the people within it.

Specific technical qualifications as follows:

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 cloud infrastructure cases, developing proposals, and presenting to key stakeholders
Experience building and maintaining cloud architecture at scale; primarily in AWS
Requirement: demonstrated administrative experience to guide best-in-class security architecture
Requirement: demonstrated experience designing resource monitoring processes (e.g. cost, performance)
Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)
Experience working with modern Data + AI platforms (Databricks, Snowflake, SageMaker)
Experience with cloud security and governance principles
Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)
Working understanding of relational databases, query languages and data modeling practices
7+ years designing, implementing and maintaining cloud architectures (primarily AWS, others a plus)
5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
Expertise in software engineering concepts and best practices and/or DevOps is desirable

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.

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