Senior Data & Analytics Engineer

Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together!

Our Values

Best Life

We believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact.

Growth Mindset

We are doers, thinkers, and dreamers. At ABC Fitness, your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach new heights—personally and professionally.

One Team

From day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive.

INTRODUCTION:

We are seeking a Senior Data & Analytics Engineer to build and scale the data platform that powers our Revenue Intelligence capabilities.

This role will integrate data from our core go-to-market systems and transform it into trusted, analytics-ready data sets used by Revenue Operations, Finance, Marketing, and leadership teams.

You will work within a modern lakehouse architecture, owning the transformation layer and analytics data models that power reporting, forecasting, and revenue performance insights across the business.

WHAT YOU'LL DO:

Build & Maintain the Revenue Data Platform

• Develop and maintain modern ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Pipelines), Azure Data Lake Storage Gen2, and dbt or Fabric’s native transformation capabilities.

• Integrate data from key revenue systems such as Salesforce, HubSpot, Marketo, Gainsight, and billing platforms.

• Design and maintain Medallion architecture data models (bronze, silver, gold) within Microsoft Fabric Lakehouse and OneLake, transforming raw ingestion data into clean, analytics-ready datasets backed by Delta Parquet.

• Optimize pipeline performance, reliability, and cost efficiency within Microsoft Fabric, including Spark pool configuration, Capacity Unit management, partitioning strategies, and Delta table maintenance (OPTIMIZE, VACUUM).

Design High-Quality Analytics Data Models

• Build dimensional models using Kimball methodology

• Implement slowly changing dimensions, snapshots, and historical tracking patterns.

• Create curated, self-service datasets supporting pipeline analysis, forecasting, marketing attribution, and revenue reporting.

• Own and evolve the centralized metrics layer, ensuring consistent definitions for key business metrics such as pipeline, bookings, revenue, retention, and growth.

Ensure Data Quality, Observability & Governance

• Implement automated data tests, validation checks, and monitoring using dbt tests, Microsoft Fabric Data Quality capabilities, and Azure Monitor / KQL-based alerting.

• Detect and resolve schema changes, pipeline failures, and data drift.

• Establish observability patterns for pipeline reliability and SLA tracking.

• Support data lineage, documentation, and governance workflows, including PII handling and access controls.

Support Time-Based & Historical Revenue Analysis

• Maintain robust snapshot frameworks to enable point-in-time analysis.

• Leverage Delta Lake time travel and versioning within Microsoft Fabric to support reproducible analytics and historical reporting, including point-in-time query patterns in OneLake.

• Ensure revenue metrics are stable and trustworthy as operational systems evolve.

Collaborate Across Data & Business Teams

• Partner with Revenue Operations, Marketing Ops, Finance, and Analytics teams to translate business requirements into scalable data models.

• Work closely with analysts and data consumers to ensure datasets are intuitive, accurate, and accessible.

• Participate in data architecture discussions and technical design reviews.

• Mentor analysts or junior engineers on data modeling, SQL, dbt best practices, and Microsoft Fabric Notebook / Lakehouse patterns.

Data Platform & Engineering Practices

• Contribute to data platform standards including modeling conventions, testing frameworks, and deployment workflows.

• Participate in code reviews and maintain high standards for reliability, maintainability, and documentation.

• Support CI/CD practices for dbt models and Microsoft Fabric pipelines using Azure DevOps or GitHub Actions with Fabric REST API deployment patterns.

What Success Looks Like:

• Establish a trusted revenue data layer that becomes the single source of truth for revenue performance across the business.

• Deliver high-quality, reliable datasets that analysts and executives depend on.

• Build scalable modeling frameworks that support the company’s growth and go-to-market strategy.

• Elevate the analytics engineering discipline through best practices, documentation, and thoughtful system design.

WHAT YOU'LL NEED:

Experience

• 5+ years of experience working in data engineering, analytics engineering, or data platform roles building production data systems.

Data Engineering & Pipelines

• Experience building production data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Spark Notebooks) or comparable modern data stack technologies (e.g., Databricks, dbt, Azure Data Factory).

• Hands-on experience with Microsoft Fabric Lakehouse, OneLake, and Warehouse, or comparable lakehouse platforms (Databricks, Snowflake, BigQuery).

• Experience working in Azure cloud environments; familiarity with Azure services including ADLS Gen2, Azure Key Vault, Azure DevOps, and Entra ID (formerly AAD) access management.

Data Modeling

• Strong understanding of dimensional modeling, including fact/dimension table design.

• Experience implementing slowly changing dimensions, snapshots, and historical data patterns.

• Experience designing analytics datasets that support business reporting and decision-making.

SQL & Data Transformation

• Advanced SQL skills capable of building efficient, scalable transformations.

• Experience using SQL within analytics engineering frameworks such as dbt, or within Microsoft Fabric Dataflows Gen2 and Warehouse SQL endpoints.

• Familiarity with Python for data utilities, transformations, or orchestration.

Data Quality & Observability

• Experience implementing data testing, monitoring, or lineage practices.

• Familiarity with schema management and pipeline reliability best practices.

Collaboration & Business Acumen

• Ability to communicate effectively with both technical and non-technical stakeholders.

• Understanding of revenue processes such as sales stages, pipeline metrics, attribution, retention, and ARR/NRR concepts.

Preferred Qualifications

• Hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, Spark Notebooks, Warehouse, or Real-Time Intelligence); experience with Databricks or Azure Synapse Analytics also valued.

• Experience working with CRM and marketing automation platforms such as Salesforce, HubSpot, or Marketo.

• Experience integrating billing, subscription, or financial system data.

• Experience with BI tools such as Power BI, Tableau, Looker, or Sigma.

• Experience supporting a centralized metrics or semantic layer; familiarity with Microsoft Fabric Semantic Models (Power BI Direct Lake mode), dbt Metrics, or Cube preferred.

• Experience optimizing Microsoft Fabric performance and cost (Capacity Unit management, Spark pool sizing, Delta table OPTIMIZE/VACUUM, OneLake storage tiering).

• Familiarity with SaaS business models and revenue operations workflows.

WHAT’S IN IT FOR YOU:

• Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset

• Time Off – competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year

• 11 Holidays plus 4 Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam

• Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent-in-laws, and including EAP counseling

• Life Insurance and Personal Accident Insurance

• Best Life Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement

• Premium Calm App – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16

• Support for working women with financial aid towards crèche facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers

At ABC Fitness, we don’t just build technology—we build communities and transform lives. Your work matters here, your growth is supported, and your voice is heard. We welcome diverse talent and encourage you to apply, even if you don’t meet every requirement.

ABC’S COMMITMENT TO DIVERSITY, EQUALITY, BELONGING AND INCLUSION:  ABC is an equal opportunity employer committed to diversity, equity, and inclusion. We strive to create a workplace where every employee, client, and partner feels valued, inspired, and empowered to reach their full potential. For us, inclusion isn’t just the right thing to do—it’s a business imperative. Learn more at abcfitness.com.

About ABC Fitness

ABC Fitness is the #1 software provider for fitness businesses of any size, all around the world. Supporting 30K clubs, 650K coaches, 40M members, and processing more than $12B in payments every year, ABC Fitness provides scalable, data-driven solutions to simplify club management and engage members and clients.

From personal trainers, boutique studios, and gyms, to international franchise health clubs, ABC Fitness will move your business forward through technology and industry insights. Innovation is at the center of everything we do, across ABC Glofox, ABC Ignite, ABC Trainerize, and ABC Evo. Let's make your fitness vision a seamless reality, together. Learn more at abcfitness.com

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