Manager, Data Engineering Pune, India - Accounting / Finance

Socotra, Inc.; Pune District; On-site; INR 4,500,000 - 6,500,000; Full time

Benefits offered by this job

Bonuses

Private medical insurance

Paid time off

Parental leave

Job summary

Avalara's Global Analytics & Insights team seeks a Data & Analytics Engineering Manager to lead a group building data pipelines and a modern data platform using Snowflake, dbt, Python, Terraform, and Airflow.

You will mentor engineers, drive scalable data solutions, and collaborate across functions to translate requirements into impactful analytics products. This role reports to the Director and offers an AI-forward environment with opportunities to advance data-driven business outcomes.

Qualifications

• Deep SQL experience and data warehousing expertise.
• 8+ years in data engineering with leadership experience.
• 2+ years managing direct technical reports.
• 5+ years working with data warehousing concepts and technologies.
• 4+ years with Git and CI/CD workflows.
• 4+ years working with Snowflake.
• 3+ years working with dbt core.
• Experience with probabilistic attribution modeling is a plus.

Responsibilities

• Mentor a team of data engineers and support career growth.
• Lead development and maintenance of data pipelines, data modelling, code reviews, and data products.
• Collaborate with cross-functional teams to translate requirements into scalable data solutions.
• Drive innovation and continuous improvements within the data engineering team.
• Build scalable processes and playbooks to ensure consistent delivery and quality across projects.
• Drive adoption of best practices in data engineering and data modelling.
• Coordinate communication, releases, and status to stakeholders.
• Design and maintain advanced marketing attribution models for SaaS funnels.
• Champion AI-assisted engineering and knowledge tools to accelerate development and review.

Skills

SQL

Leadership

Data warehousing

Mentoring

Cross-functional collaboration

Data pipelines

Python

Snowflake

dbt

Airflow

Terraform

Git

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

dbt

Python

Terraform

Airflow

Git

CI/CD tooling

AWS

Job description

What You'll Do

Job Summary:

The Global Analytics & Insights (GAI) team is seeking a Data & Analytics Engineering Manager to lead our team in designing, developing, and maintaining data pipelines and analytics infrastructure. As a Data & Analytics Engineering Manager, you will play a pivotal role in empowering a team of engineers to build and enhance analytics applications and a modern data platform using Snowflake, dbt (Data Build Tool), Python, Terraform, and Airflow. You will become an expert in Avalara's financial, marketing, sales, and operations data - including the quantitative models that explain how marketing and sales activity converts into pipeline and revenue. The ideal candidate will have deep SQL experience, an understanding of modern data stacks and technology, demonstrated leadership and mentoring experience, and an ability to drive innovation and manage complex projects. This position will report to Director.

What Your Responsibilities Will Be

What Your Responsibilities Will Be

• Mentor a team of data engineers, providing guidance and support to ensure a high level of quality and career growth
• Lead a team of data engineers in the development and maintenance of data pipelines, data modelling, code reviews and data products
• Collaborate with cross-functional teams to understand requirements and translate them into scalable data solutions
• Drive innovation and continuous improvements within the data engineering team
• Build maintainable and scalable processes and playbooks to ensure consistent delivery and quality across projects
• Drive adoption of best practices in data engineering and data modelling
• Be the visible lead of the team - coordinate communication, releases, and status to various stakeholders
• Design, build, and maintain advanced marketing attribution models - including Markov Chain models with time-decay weighting - to quantify multi-touch channel contribution across the SaaS marketing and sales funnel (Traffic Inquiry MQL Pipeline Revenue), informing channel investment and budget-allocation decisions
• Champion the team's adoption of AI-assisted engineering and knowledge tools (e.g., Claude/Claude Code, Cursor, Glean) to accelerate development, code review, and enterprise data/knowledge discovery

What You'll Need To Be Successful

• Bachelor's degree in Computer Science, Engineering, or related field
• 8+ years experience in data engineering field, with deep SQL knowledge
• 2+ years management experience, including direct technical reports
• 5+ years' experience with data warehousing concepts and technologies
• 4+ years of working with Git, and demonstrated experience using these tools to facilitate growth of engineers
• 4+ years working with Snowflake
• 3+ years working with dbt (dbt core preferred)
• Working knowledge of probabilistic/statistical multi-touch attribution modeling (e.g., Markov Chain attribution with time decay) applied to a SaaS marketing funnel, and the ability to translate that modeling into production data pipelines and reporting

Preferred Qualifications:

• Snowflake, Dbt, AWS Certified
• 3+ years working with Infrastructure as Code, preferably Terraform
• 2+ years working with CI / CD, and demonstrated ability to build and operate pipelines
• Experience and understanding of Snowflake administration and security principles Demonstrated experience with Airflow

Why Join Us?

• Be part of a data-driven organization that values innovation and efficiency.
• Opportunity to work on impactful BI projects that drive business success.
• Competitive salary, benefits, and opportunities for career growth.
• A collaborative and inclusive work culture that supports professional development.

Avalara is an AI-first Company

AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.

• You’ll bring experience using AI and AI-related technologies, ready to thrive here.

• You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.

• You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

How We'll Take Care Of You

Total Rewards

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.

Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.

Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.

What You Need To Know About Avalara

We're defining the relationship between tax and tech.

We've already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we're not slowing down until we've achieved our mission - to be part of every transaction in the world.

We're bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we've designed, that empowers our people to win. We've been different from day one. Join us, and your career will be too.

We're An Equal Opportunity Employer

Supporting diversity and inclusion is a cornerstone of our company - we don't want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.