Manager, Data Analytics and Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, guide, and nurture a team of Data Engineers through regular one-on-one meetings, coaching sessions, and performance evaluations.

• Manage hiring, onboarding, career progression, and performance assessment for the team.

• Promote accountability, ownership, teamwork, and a culture of continuous improvement.

• Balance project delivery expectations with sustainable practices for the team.

• Oversee the design, development, and operation of batch and streaming data ingestion, transformation, storage pipelines, and analytical models.

• Ensure the reliability, scalability, performance, and cost-effectiveness of data systems.

• Advocate for best practices in data modeling, data quality, observability, and operational excellence.

• Review and provide guidance on technical designs, architectural decisions, and code quality.

• Collaborate with platform and infrastructure teams on tooling, security, and scalability efforts.

• Convert business and analytics requirements into scalable technical solutions.

• Work closely with Product, Analytics Engineering, Data Science, and Business teams to deliver reliable datasets and metrics.

• Handle sprint planning, prioritization, and commitment to delivery timelines.

• Communicate progress, risks, and trade-offs to stakeholders and leadership effectively.

• Establish and uphold data engineering standards, methodologies, and documentation.

• Support data governance, data contracts, and schema management initiatives.

• Ensure compliance with security, privacy, and data retention regulations.

⛳️ Requirements

• A graduate degree in Computer Science, Mathematics, or a related quantitative discipline.

• Over 8 years of experience in Data Engineering or similar roles.

• More than 3 years of experience in leading engineers (including hiring, coaching, and accountability for delivery).

• Strong foundational knowledge of distributed systems (scaling, reliability, data correctness).

• Practical experience with Python and/or Java.

• Familiarity with cloud data ecosystems (GCP preferred, AWS, or Azure).

• Proficient in SQL and at least one programming language (Python, Java, or Scala).

• Experience with orchestration tools (such as Airflow, Argo, etc.).

• Solid understanding of data modeling, ETL/ELT processes, and data reliability.

• Experience with streaming technologies (Kafka, Flink, Spark Streaming).

• Familiarity with modern data warehouses/lakehouses (BigQuery, Snowflake, Redshift, Iceberg).

• Knowledge of analytics engineering tools (dbt, semantic layers).

• Exposure to data governance, observability, and data quality tools.

• Must have authorization to work for any employer in the U.S.; employment visa sponsorship is not available.

🏝️ Benefits

• Company-subsidized medical, dental, and vision insurance plans.

• 401(k) retirement plan with company matching contributions.

• Annual bonus opportunities.

• Flexible Paid Time Off (PTO) to promote a healthy work/life balance (2 weeks STRONGLY recommended!).

• Generous paid leave programs, including 16 weeks of paid parental leave and disability benefits.

• Flexible working arrangements and modern schedules aimed at achieving results, rather than just hours worked.

• Company-wide in-person events and team outings.

• Lifestyle enhancement initiatives.

• Provision of company equipment (Windows & Mac options available).

• Annual performance evaluations with growth and career development opportunities.