Sr. Data Engineer

Alkami Technology is a digital sales and service platform provider for U.S. banks and credit unions. The Senior Data Engineer will build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution, designing end-to-end data processes and modern data pipelines. The role also involves technical leadership, performance optimization, data governance, cross-functional collaboration, and on-call support.

Responsibilities:

• 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

Requirements:

• Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree
• Education Level Bachelor's degree in engineering, computer science, math, data engineering or another related field or equivalent work experience
• ● 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
• ● 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 lift a minimum of 5 pounds to a maximum of 10 pounds unassisted
• ● Ability to stand, sit, stoop, walk, stretch, reach, and use full range of body motions
• ● Manual dexterity as required for specific equipment
• Candidates must be eligible to work in the US for full-time employment
• ● Experience with multi-tenant, B2B2C SaaS offerings
• FinTech industry experience is preferred but not required
• ● AWS Cloud Formation/Terraform
• ● Understanding of MPP Data Warehouse (Redshift, Greenplum)