Manager, Data Engineering

Per Company Description

Assent is the leading solution for supply chain sustainability tailored for the worlds top-tier, sustainability-driven manufacturers. Hidden risks riddle supply chains, many of which weren't built with sustainability in mind. That's where we step in. With insights from experts, Assent is the tool manufacturers trust for comprehensive sustainability.

We are proud to announce that Assent has crossed the US$100M ARR milestone, granting us Centaur Status. This accomplishment, reached just 8 years following our Series A, makes us the first and only Certified B Corporation in North America's SaaS sustainability industry to celebrate this milestone.

Our journey from $5 million to US$100M ARR in just eight years has been marked by significant growth and achievements. With our $350 million US funding led by Vista Equity Partners, we're poised for even greater expansion and are on the lookout for outstanding team members to join our mission.

Hybrid Work Model

At Assent, we proudly embrace a remote-first work model, valuing the flexibility and autonomy it provides our team. We also acknowledge the intangible benefits of occasional in-person workdays. For team members situated within 50 kms/31 miles of our five global offices in Ottawa, Eldoret, Penang, Columbus, Pune and Amsterdam, you can expect to come into the office at least one day a week. Similarly, those near our co-working spaces in Nairobi and Toronto are encouraged to work onsite once a month.

Position Overview

We’re seeking a Manager – Data Engineering to lead our growing data engineering team based in Pune. This leadership role will focus on building scalable, secure, and high-performance data platforms, pipelines, and products for our global, multi-tenant SaaS applications.

You will work closely with cross-functional teams including Product, Architecture, UX, QA, and DevOps to deliver robust data solutions that power Assent's products and reporting systems — especially in the areas of ETL pipelines, cloud-native data warehousing, and unstructured data lakes.

Key Responsibilities

Team Leadership & Development

• Lead, mentor, and retain a high-performing team of data engineers
• Conduct regular 1:1s, performance reviews, and growth planning
• Foster a collaborative team culture and instill best practices

Project & Delivery Management

• Drive delivery of data solutions aligned with sprint and release goals
• Ensure on-time delivery, high code quality, and scalability
• Facilitate agile ceremonies: sprint planning, retrospectives, and stand-ups

Technical Execution & Architecture

• Architect and guide the development of scalable ETL/ELT pipelines
• Build and maintain data lake solutions using AWS tools to manage unstructured and semi-structured data
• Work with large-scale datasets from diverse sources including APIs, logs, files, and internal systems
• Optimize performance, security, and maintainability of data pipelines
• Promote usage of tools such as Snowflake, dbt, Python, and SQL

Data Governance & Best Practices

• Ensure adherence to internal coding standards and data security guidelines
• Implement best practices for data modeling, quality checks, and documentation
• Collaborate with architecture and infrastructure teams on cloud cost optimization and performance

Required Skills & Experience

• 12- 15 years in Data Engineering, Data Architecture, or similar roles
• Minimum 3 years in a leadership or managerial capacity
• Proven experience building robust ETL pipelines, preferably for multi-tenant SaaS platforms
• Strong technical hands-on expertise with:
• AWS Services: S3, Glue, Lambda, Redshift, EMR
• Data Platforms: Snowflake, dbt
• Programming: Python, SQL
• Unstructured Data Handling: Data lakes, JSON, XML, log data
• Expertise in SQL-based data warehousing and RDBMS systems
• Knowledge of CI/CD, version control (GitHub), and Agile/Scrum methodologies
• Ability to balance technical depth with stakeholder communication and delivery tracking
• Understanding of modern lakehouse architecture and tools like Apache Hudi, Iceberg, or Delta Lake.

Good to Have

• Experience in product-based companies (SaaS, ESG, Supply Chain domains preferred)
• Familiarity with data security standards (e.g., GDPR, SOC2)
• Experience with orchestration tools (Airflow, Step Functions), data cataloging, or cost optimization

Benefits & Perks at Assent

Work-Life Flexibility

• Hybrid work model – 1 day/week in our Pune office
• Flexible work hours, generous leave policy, and wellness days

Financial Well-being

• Competitive base salary + annual bonus
• Retirement savings plans and financial planning resources

Health & Wellness

• Medical insurance for you and dependents
• Life leave for major personal moments or mental wellness

Learning & Growth

• Learning days, access to global mentorship programs
• Certifications, online courses, and internal mobility opportunities

Diversity & Inclusion

• Active DEI Employee Resource Groups
• Inclusive hiring practices and equitable career progression