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. Essential Duties & Responsibilities: 6 Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes 6 Lead code and design reviews with junior and peer developers 6 Write clean code to develop data pipelines and necessary infrastructure as code 6 Collaborate with cross functional teams to understand requirements and effectively design appropriate solutions 6 Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed 6 Participate in the evaluation of new technologies and tools that can improve performance of our system 6 Participate in data governance process 6 Contribute to the design and documentation of our data lake platform 6 Proficient in test automation solutions for data and ability to optimize performance 6 Gather technical and design requirements 6 Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects. 6 Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement 6 Participate in an on call rotation Recommended Experience & Education Minimum Years of Experience Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree Education Level Bachelors degree in engineering, computer science, math, data engineering or another related field or equivalent work experience Knowledge, Skills, & Qualifications Required 6 Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas 6 Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis 6 In-depth knowledge of the entire data engineering process (design, development, deployment) 6 Exposure with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb etc and data modeling principles 6 Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code 6 Proficient in SQL (SQL Server, Postgres) and Python 6 Identify opportunities for process improvement as well as efficiency in solutions 6 Teamwork skills with a problem-solving attitude and willing to take a variety of approaches 6 Strong experience with legacy data warehouse and ETL pipelines 6 Demonstrated ability to mentor junior team members 6 Excellent analytical and time management skills, with a proven ability to deliver value independently 6 Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders Preferred 6 Experience with multi-tenant, B2B2C SaaS offerings 6 FinTech industry experience is preferred but not required 6 AWS Cloud Formation/Terraform 6 Understanding of MPP Data Warehouse (Redshift, Greenplum) Physical Demands 6 Ability to lift a minimum of 5 pounds to a maximum of 10 pounds unassisted 6 Ability to stand, sit, stoop, walk, stretch, reach, and use full range of body motions 6 Manual dexterity as required for specific equipment The salary range for this position is: $120,000 - $150,000 Cool Things to Know Not Just Any Company: Alkami has an awesome diverse and inclusive environment. We have a FUN culture and offer great benefits, including remote-first environment, unlimited paid time off, 401(k) with employer match, and more. Work Authorization: We cannot offer employment sponsorship at this time. Candidates must be eligible to work in the US for full-time employment. Recruiters: We are not looking for outside recruiting firms to help us in this search. Thank you for understanding. Pay Transparency:As of January 1, 2023, new states and locales have enacted pay equity laws that require more pay transparency by employers in the following states: California, Colorado (effective January 1, 2021), Connecticut, Maryland, Nevada, New Jersey, New York, Ohio, Rhode Island and Washington. #LI-REMOTE