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Senior Data Engineering Manager

Job Title: Senior Data Engineering Manager

Experience: 5 to 6 + Years
Location: Onsite – Lahore / Hybrid / Remote
Job Type: Full-Time

About the Role

We are seeking a strategic and hands-on Senior Data Engineering Manager to lead our data engineering function. You will be responsible for building scalable data platforms, managing high-performing teams, and enabling data-driven decision-making across the organization.

Key Responsibilities-Leadership & Strategy

  • Define and execute the data engineering roadmap and architecture.
  • Lead, mentor, and manage a team of data engineers and analytics engineers.
  • Partner with stakeholders (Product, AI/ML, BI, Finance) to translate business needs into data solutions.
  • Establish best practices for data governance, security, and compliance.

Technical Ownership

  • Design and maintain scalable data pipelines (ETL/ELT).
  • Build and optimize data warehouses and lakes.
  • Ensure data quality, reliability, and performance.
  • Oversee integration of multiple data sources (APIs, SaaS tools, transactional systems).
  • Implement real-time and batch processing systems.
  • Drive adoption of cloud-native data platforms.

Operations & Delivery

  • Own delivery timelines, sprint planning, and resource allocation.
  • Review system designs and make architectural decisions.
  • Implement monitoring, alerting, and SLAs for data systems.
  • Manage budgets, tools, and vendor relationships.

Required Skills & Qualifications

  • 5 –6 + years of experience in Data Engineering / Data Platforms.
  • 3–5+ years in people management or technical leadership roles.
  • Strong expertise in Python / SQL / Spark.
  • Deep experience with cloud platforms (AWS, GCP, Azure).
  • Expertise in data warehouses (Snowflake, BigQuery, Redshift).
  • Experience with orchestration tools (Airflow, Prefect, Dagster).
  • Strong understanding of data modeling, dimensional modeling, and analytics engineering.
  • Experience with streaming platforms (Kafka, Kinesis).
  • Solid knowledge of DevOps / CI/CD for data.

Nice to Have (Plus Points)

  • Experience supporting AI/ML pipelines.
  • Familiarity with DBT and modern analytics stacks.
  • Experience in fintech / SaaS / e-commerce domains.
  • Knowledge of data privacy regulations (GDPR, SOC2).
  • MBA or advanced technical degree.

What We Offer

  • Leadership role in building a modern data organization.
  • Competitive executive-level compensation.
  • International projects and exposure.
  • Strong growth into Head of Data / Chief Data Officer (CDO).
  • Flexible work environment

Job Type: Full-time

Pay: Rs200,000.00 - Rs250,000.00 per month

Work Location: In person

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