Data Engineer Lead

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com  

Job Description

Build and maintain scalable data solutions to supportmarketing analytics and audience activation initiatives, with a strong focus on Databricks, governed data structures, reusable components, and reliable data pipelines.

The ideal candidate has strong experience working withDatabricks, Git-based development workflows, marketing performance data, customer identity matching, and data governance. You will work with data from multiple enterprise sources, transform legacy audience logic into governed definitions, and build reliable data products that support analytics and downstream activation.

Responsibilities

• Develop and maintain scalable data pipelines inDatabricks, usingUnity Catalog and Delta.

• CurateGenie spaces and semantic layers, including table and column metadata, certified metric definitions, example SQL, and trusted assets.

• Maintain and refactor existingGit/GitHub repositories, developing modular and reusable data components.

• ImplementCI/CD workflows for Databricks solutions, including promotion from development to controlled UAT environments.

• Model marketing performance data includingemail events, campaign and promotion history, offers, packages, and tours.

• Buildpoint-in-time audience histories and connect marketing sends with downstream sales outcomes.

• Develop data solutions at theperson and household grain, using ID crosswalks and match rules based on existing identity resolution outputs.

• Implementsuppression and consent requirements, including Do Not Email rules, marketability flags, and PII handling.

• Ingest and integrate data fromSQL Server enterprise data warehouses and translate legacy SQL audience logic into governed definitions.

• Deliver audiences from Databricks toAdobe Campaign or Segment, including service accounts, encryption, and auditing.

• Profile unfamiliar data sources independently, producingdata dictionaries and ERDs and verifying data availability and structure.

• Developdata quality tests and validated query/result sets to support reliable datasets and agent evaluation.

• Collaborate with analytics, engineering, marketing, data, and security teams to improve data solutions and processes.

Qualifications

• 5+ years of experience in Data Engineering or similar roles.

• Hands-on experience developing data pipelines inDatabricks, includingUnity Catalog and Delta.

• Strong hands-on experience withPython for data processing and transformation.

• StrongSQL skills, including the ability to understand and translate complex existing SQL logic.

• Experience withGit-based development and CI/CD, preferably using Databricks Asset Bundles or an equivalent approach.

• Experience withAzure and promoting data solutions across development and controlled UAT environments.

• Experience modeling data formarketing analytics, customer data, or similar business domains.

• Experience withcustomer identity, person/household data, ID crosswalks, and identity matching rules.

• Experience handlingconsent, suppression, marketability, and PII requirements.

• Experience integrating data fromSQL Server enterprise data warehouses.

• Ability to independentlyprofile unfamiliar data sources and document findings through data dictionaries and ERDs.

• Strong analytical and problem-solving skills, with the ability to investigate ambiguous data issues independently.

• Strong communication and collaboration skills for working with technical and business stakeholders.

What about languages?

• You will needexcellent written and verbal English for clear and effective communication with the team.

How much experience must I have?

• In order to thrive in this role, you must haveat least 5+ years of experience in data engineering or similar roles.

Our Perks and Benefits: 

📚 Learning Opportunities: 

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 

• Access to AI learning paths to stay up to date with the latest technologies. 

• Study plans, courses, and additional certifications tailored to your role. 

• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 

• English lessons to support your professional communication. 

🛫 Travel opportunities to attend industry conferences and meet clients. 

👩‍🏫 Mentoring and Development: 

• Career development plans and mentorship programs to help shape your path. 

🎁 Celebrations & Support: 

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 

• Company-provided equipment.  

⚖️ Flexible working options to help you strike the right balance.    

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.