[Hiring] Senior Software Engineer, Data Platform @Alkami Technology

Role Description

The Senior Data Engineer will build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution. Position requires a demonstrated ability to design processes from end to end and a strong technical understanding of modern data pipelines and strategies. In depth knowledge of multiple data sources, data design patterns, ETL transformation, SQL and performance tuning are required.

• Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes
• Lead code and design reviews with junior and peer developers
• Write clean code to develop data pipelines and necessary infrastructure as code
• Collaborate with cross functional teams to understand requirements and effectively design appropriate solutions
• Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed
• Participate in the evaluation of new technologies and tools that can improve performance of our system
• Participate in data governance process
• Contribute to the design and documentation of our data lake platform
• Proficient in test automation solutions for data and ability to optimize performance
• Gather technical and design requirements
• Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects
• Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement
• Participate in an on call rotation

Qualifications

• Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree
• Bachelor’s degree in engineering, computer science, math, data engineering or another related field or equivalent work experience

Requirements

• Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas
• Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis
• In-depth knowledge of the entire data engineering process (design, development, deployment)
• Exposure with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb etc and data modeling principles
• Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code/AWS Cloud Formation/Terraform
• Proficient in SQL (SQL Server, Postgres) and Python
• Identify opportunities for process improvement as well as efficiency in solutions
• Teamwork skills with a problem-solving attitude and willing to take a variety of approaches
• Strong experience with legacy data warehouse and ETL pipelines
• Demonstrated ability to mentor junior team members
• Excellent analytical and time management skills, with a proven ability to deliver value independently
• Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders
• Ability to participate in on-call rotation

Benefits

• Remote-first environment
• Unlimited paid time off
• 401(k) with employer match
• Diverse and inclusive environment
• Fun culture