Purpose of the Job :

As a Technical Product Owner (TPO), you will be the key bridge between business owners and data engineering teams, translating business needs into technical requirements and guiding the data engineering team from requirements to release.

You will combine business domain knowledge with modern data stack technical expertise to deliver high-quality data solutions for Finance, Sales, and Marketing data products.

Key Responsibilities :

- Design, develop, and govern data pipelines and platforms supporting Sales, Marketing, and Finance use-cases (CRM, marketing automation, campaign analytics, revenue forecasting, order-to-cash, pricing, profitability).

- Partner with business stakeholders to translate requirements into technical solutions; present progress, trade-offs, updates, pre-empt delays, and ROI.

- Deliver scalable data products, owning the data modeling for domain-specific needs.

- Ensure data quality, lineage, data security, compliance, and audit readiness for domain data assets.

- Optimize data platform for performance and cost; evaluate and implement emerging data technologies as needed.

- Lead cross-functional initiatives (ERP, CRM, finance, external data feeds) and oversee data integration projects.

Required Qualifications :

- 7-8 years of experience in data engineering or related field; 2-3 years in a product owner / Senior Business Analyst role.

- Strong expertise in data modeling, ETL/ELT design, data warehousing, and modern data platforms (data lake, lake house, warehouse), SQL.

- Proficiency with distributed data processing frameworks (Databricks, Spark) and batch/streaming data pipelines.

- 3+ years experience with Azure cloud data platforms (Fabric/ADF) and data catalogs, metadata, governance.

- Domain knowledge in Sales, Marketing, and Finance data and analytics (CRM, marketing attribution, revenue recognition, forecasting) is a MUST.

- Strong problem-solving, analytical, and communication skills.

Preferred Qualifications:

- Experience with marketing analytics, attribution models, CRM data, and sales forecasting.

- Familiarity with ERP/CRM/Marketing integrations and data exchange formats (API, JSON, CSV files).

- Knowledge of data visualization BI tools (Power BI, Tableau, Looker).

- Experience with data mesh concepts, data contracts, and domain-driven design in data platforms.

- Certifications in cloud data platforms or data engineering (e.g., Azure/Databricks) is a plus.

Tech Stack:

- Data modeling, ETL/ELT, SQL, Databricks, Spark, Azure Fabric/ADF, Power BI.