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Lead Data Engineer
SimplePractice. Lead the evolution of SimplePractice’s data stack, from pipelines to platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering and Analytics, with a strong focus on building and maintaining scalable data solutions using AWS, SQL, and data modeling techniques. Proven ability to lead technical architecture and collaborate across cross-functional teams to drive product intelligence and operational metrics.
Highest-signal resume keywords
Data EngineeringSQL ExpertiseAWS Cloud SolutionsData Warehouse DesignData Modeling
ATS Keywords
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Hard Skills
Data EngineeringSQLData ModelingData Warehouse DesignDBTPythonUnix/Linux ScriptingFinancial ReportingSelf-Serve AnalyticsEnterprise Architecture
Soft Skills
Problem-SolvingCommunicationCollaboration
Tools & Technologies
AWSSnowflakeAirflowPrefectFivetranKafkaLookerTableauSisenseTerraform
Industry Keywords
Data StackAnalyticsCloud-Based SolutionsData QualityData SecurityBusiness OutcomesPerformance OptimizationAPIsAgileKubernetes
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSCloudDockerKafkaKubernetesLinuxPythonSQLTableauTerraformUnix
About the role
Key responsibilities & impact- Lead the evolution of SimplePractice’s data stack, from pipelines to platform
- Build infrastructure powering product intelligence, financial reporting, self-serve analytics, and AI evaluation loops
- Partner with Product, Analytics, Engineering, ML, and DevOps teams to build scalable systems from backend databases, event streams, and marketing platforms
- Lead technical vision and architecture across short-term and long-term horizons
- Establish standardized company-wide metrics with Analytics
- Support financial reporting, product analytics, operational metrics, customer-facing dashboards, self-serve analytics, and next-best-action product features
- Manage the complete data stack from ingestion through data consumption
- Build tools that increase transparency in company-wide business outcomes
- Deploy and maintain cloud-based data solutions, preferably using AWS
- Help define data quality and data security frameworks and promote data engineering best practices
Requirements
What you’ll need- BS/MS in Engineering, Computer Science, Mathematics, or related field
- 7+ years in Data or Analytics Engineering
- Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
- Enterprise architecture and enterprise data architecture, including data modeling and enterprise dimensional modeling
- Expert in SQL and data modeling (relational, dimensional, semantic)
- Proven experience in data warehouse design, implementation, and maintenance, especially Snowflake
- Hands-on experience with DBT for modular, testable transformations
- Experience with Airflow, Prefect, Airbyte, Fivetran, and Kafka
- Familiarity with ELT, schema-on-read, DAGs, and performance optimization
- Experience with AWS, including S3, RDS, and Redshift
- Familiarity with Terraform, Docker, and containerized workflows (bonus)
- Skill handling structured, semi-structured JSON, and columnar formats such as Parquet and ORC
- Experience building and supporting semantic layers for self-serve analytics
- Proficiency with BI tools such as Looker, Tableau, or Sisense
- Proficiency in Python and Unix/Linux scripting
- Comfort working with APIs, such as using curl
- Bonus: AWS DevOps, Terraform, Kubernetes, Docker; Agile SCRUM/Kanban; Kafka streaming and AWS Kinesis
Benefits
Comp & perks- Privatized Medical, Dental & Vision Coverage
- Supplemental health and wellness benefit - Modern Health and Vivawell
- Work From Home stipend
- Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays
- Christmas Bonus (15-day aguinaldo)
- Monthly meal/grocery voucher via Si Vale card
- Catered Lunch
- A relocation bonus for candidates joining us from a different city
- Annual Bonus
- Tuition Reimbursement
- Saving Funds
- Employee Resource Groups (ERGs)