Senior Principal Database Engineer

New

JobgetherData engineering

Fully remote position available anywhere in the United States.Full-TimePrincipal

Salary131,000 - 180,000 USD per year

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Job Details

Experience: 10+ years of progressive experience in data engineering, analytics engineering, business intelligence, or related technical roles.
Required Skills: AWSPythonSQLSnowflakeCI/CDTerraformData modelingDatabricksPySpark

Have a bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline, or an equivalent combination of education and relevant experience.
Bring 10+ years of progressive experience in data engineering, analytics engineering, business intelligence, or related technical roles.
Demonstrate experience designing and delivering enterprise-scale data platforms and analytics solutions.
Have advanced proficiency in SQL and Python, with hands-on experience using PySpark and distributed data processing.
Understand data warehousing, data lakes, lakehouse architectures, enterprise data modeling, and modern data platforms.
Have experience building scalable ETL/ELT pipelines and implementing data quality, monitoring, and governance frameworks.
Have hands-on experience with AWS services such as S3, IAM, Glue, and Lake Formation.
Have experience with Snowflake, Databricks, Azure, GCP, or other modern cloud data platforms.
Understand secure cloud-native architectures, cloud security, identity management, and access controls.
Have experience with Terraform or comparable Infrastructure-as-Code technologies, Git-based development, CI/CD, and deployment automation.
Have experience working with Agile methodologies such as Scrum, Kanban, or SAFe.
Be able to independently drive initiatives from concept through implementation and ongoing support.

Design, build, and optimize enterprise-scale data platforms, lakehouse architectures, data models, and analytics solutions.
Develop and maintain scalable ETL/ELT pipelines using SQL, Python, PySpark, and distributed data processing technologies.
Architect secure, reliable, and cost-efficient cloud data environments across AWS, Snowflake, Azure, Databricks, and other cloud platforms.
Implement data quality, monitoring, governance, security, identity, and access-control frameworks across data platforms.
Automate cloud infrastructure provisioning and platform operations using Infrastructure-as-Code tools such as Terraform.
Develop CI/CD pipelines, deployment automation, monitoring capabilities, and operational processes to improve platform reliability.
Partner with business stakeholders and technical teams to gather requirements, troubleshoot issues, and translate business needs into scalable solutions.
Lead technical initiatives, influence architectural decisions, and evaluate emerging technologies including machine learning, MLOps, GenAI, and LLMs.
Support cloud migration initiatives and optimize cloud spending, platform performance, scalability, and operational efficiency.
Mentor engineers, conduct code reviews, and establish engineering standards.

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