Senior Data Engineer II

Summary

Join LTK, the leading global company in creator commerce, as a Senior Data Engineer and be part of a growth-hungry team. You will build robust data pipelines and datasets, optimize data engineering processes, and design analytical dimensional models. This role requires collaboration with product managers, designers, and engineers to identify actionable insights. The ideal candidate will have extensive experience in data engineering, cloud platforms (AWS), big data tooling, and analytical modeling. LTK offers a remote-first environment, competitive compensation and benefits, and opportunities for professional growth.

Requirements

• 3-6+ years in a data engineering role on a cloud data platform (min 2 years AWS)
• Experience building production data pipelines, ELT/ETL solutions, data lakes, and data warehouses at a large scale
• Programming proficiency in cloud data ecosystem using Python, R, or Scala (min 2 years)
• 2+ years utilizing large-scale Analytic/MPP data warehouse platform (Redshift, Snowflake, databricks, etc.)
• Highly proficient with complex SQL
• Highly proficient with modern analytical/dimensional modeling approaches, key management techniques, and understanding of how data sets can power a variety of analytic use cases (clustering, segmentation, regression, etc.)
• Highly proficient in engineering data pipelines using big data tooling (Spark, Hudi, Kafka)
• Highly proficient working in AWS cloud environment (S3, Cloud Formation, RDS, AWS Glue, Athena, EMR, Kinesis, Redshift, MWAA)
• Strong understanding of cloud computing and optimization techniques
• Demonstrated leadership and specialized expertise in at least 2 of the following
• Batch data ingestion
• Big data pipeline engineering and optimization
• Analytic/MPP data warehouse optimization
• Analytical data modeling
• Event streaming data processing
• Data pipeline metadata observability
• Data Platform Cost Optimization
• DataOps
• Specialized expertise in designing and working with at least 2 of the following data domains
• Retail product data
• E-commerce data
• Consumer profile data
• Clickstream data
• Consumer event data
• Marketing channel/campaign data
• Affiliate data
• Retailer/Brand data

Responsibilities

• Responsible for building robust, reliable, and usable data pipelines and data sets that are used to fuel LTK’s products, analytics, and data science solutions
• Bring modern technical strategies that optimize data engineering technical approach, workflows, and processes
• Worked on data engineering optimization projects and initiatives
• Worked on aspects of data pipeline design activities (definition, analysis, architecture design, estimation, testing, observability)
• Built analytical dimensional model design activities and support ongoing improvement and useability of high-value data sets
• Identify high-value opportunities for using our data to drive the business forward
• Set robust, comprehensive design and development standards with clarity
• Develop reusable data engineering approaches and patterns
• Worked in an agile development environment, effectively planning, grooming, and delivering data engineering work
• Produce high-quality technical documentation and artifacts that are easily consumable by data teams and other engineering teams

Preferred Qualifications

Exposure and experience with multiple platform stacks and tooling (Snowflake, DBT, Airflow Orchestration, etc.)

Benefits

• The opportunity to be part of the leading global company in creator commerce
• A remote-first, productivity-first environment
• Competitive compensation and benefits package to meet the needs of you and your family
• 401(k) with LTK company matching
• Medical Insurance, Vision Insurance, Dental Insurance
• Paid Maternity Leave and Paid Paternity Leave
• Summer Fridays and Flexible PTO