Sr. Data Engineer

Alkami TechnologyBentonville, AR
$120,000 - $150,000Remote

About The Position

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.

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
  • 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 independently
  • Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders

Nice To Haves

  • 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)

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

Benefits

  • remote-first environment
  • unlimited paid time off
  • 401(k) with employer match
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