Remote Principal Data Engineer

at Sleek

Posted 3 days ago 6 applied

Description:

  • Sleek is seeking a Principal Data Engineer to work closely with cross-functional teams to translate business vision into impactful data solutions.
  • The role involves driving the alignment of data architecture requirements with strategic goals, ensuring solutions meet analytical needs and advance core objectives.
  • Responsibilities include defining greenfield data architecture using GCP - BigQuery, establishing best practices for data ingestion, transformation, quality, and governance.
  • The engineer will lead the design and implementation of ETL/ELT pipelines, ensuring data quality and reliability.
  • Governance and security measures will be implemented, including defining IAM policies and compliance controls.
  • The role requires defining SLAs, SLOs, and SLIs for data products and implementing observability tooling.
  • The engineer will partner with BI/analytics teams to deliver governed self-service and support squad-level data product ownership.
  • Team leadership responsibilities include mentoring a small data engineering team and collaborating with product managers and leadership.

Requirements:

  • Candidates must have 10+ years of experience in data engineering, architecture, or platform roles.
  • Strong expertise in the GCP data stack, including BigQuery, GCS, Dataplex, Data Catalog, Pub/Sub, and Dataflow is required.
  • Hands-on experience in building ETL/ELT pipelines with dbt and orchestration tools like Composer, Airflow, or Dagster is necessary.
  • Deep knowledge of data modeling, warehousing, and partitioning/clustering strategies is essential.
  • Experience with monitoring, reliability engineering, and observability for data systems is required.
  • Familiarity with data governance, lineage, and security policies such as IAM, DLP, and encryption is important.
  • Strong SQL skills and solid knowledge of Python for data engineering are mandatory.
  • Nice-to-have qualifications include experience with Snowflake, Databricks, AWS, or Azure Synapse, knowledge of open-source catalogs, and exposure to data observability tools.

Benefits:

  • Employees enjoy flexibility with the option to work from home five days a week and the ability to work remotely from anywhere in the world for one month each year.
  • Sleek offers competitive market salaries, generous paid time off, and eligibility for an employee share ownership plan.
  • The company emphasizes personal growth, providing responsibility and autonomy, along with various training programs.
  • Sleek is committed to being a force for good, with initiatives such as planting trees and aiming for carbon neutrality by 2030.

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