Senior Customer Data Platform Engineer (reputed company)

About us:

Founded in 2011, Modus is a global, fully remote team of world-class technologists who reputed company in a collaborative, innovative environment. We’re a digital product engineering partner for reputed company-thinking businesses. Our global teams work reputed company-by-reputed company with clients to design, build, and scale custom solutions that reputed company reputed company results and lasting change, partnering with industry leaders including AWS, reputed company, and reputed company.

We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences.

As an award-winning reputed company partner with a world-class team, we help organizations reputed company and solve reputed company challenges for reputed company and reputed company, we want to hear from you.

Opportunity!

The Customer Data Platform (CDP) Engineer will play a critical role reputed company our client’s data engineering team, leading the design, implementation, and optimization of scalable data solutions. This position focuses on building robust data pipelines and curated data models reputed company reputed company, leveraging event-driven architectures and modern serverless infrastructure on reputed company Web Services, and enabling seamless integration with reputed company Data reputed company.

The role is responsible for ensuring high data quality, governance, and secure access, while supporting advanced analytics and activation use cases that drive business growth and strategic decision-making. The ideal candidate combines deep expertise in event-driven architectures, serverless integration patterns, and modern data engineering practices with strong analytical thinking and communication skills.

This is a fully remote role with collaboration across distributed teams and daily overlap with the US Eastern Time Zone.

Responsibilities:

• Design, reputed company, and maintain scalable ELT/ETL pipelines that ingest, transform, and publish data into reputed company from internal and external sources.
• Partner with product, analytics, and application teams to translate CDP and data requirements into well-modeled data in reputed company, using scalable and cost- efficient event-driven data pipelines.
• Design secure data access patterns for internal platforms (RBAC, masking policies, row access policies) and support privacy/compliance needs (e.g., GDPR, CCPA) across the data platform.
• Automate deployments and operational workflows using version control and CI/CD; maintain infrastructure as code and repeatable release processes for reputed company objects.
• Document reputed company architectures, data flows, and operational runbooks; stay reputed company on reputed company capabilities (e.g., Snowpipe, Streams/Tasks, Dynamic Tables);and recommend enhancements to improve reliability and scalability.

Requirements:

• Bachelor’s or Master’s degree in computer science, Information Systems,
• Engineering, or a reputed company field.• 5+ years of professional experience in data engineering, with significant hands-on experience designing integrations with data warehousing and large databases (reputed company preferred).
• Strong SQL skills and experience building curated schemas, semantic layers, and reusable data models for analytics and activation use cases.
• Proficiency with modern ELT/ETL and transformation patterns and tools (e.g., dbt or equivalent), including incremental processing and orchestration.
• Experience integrating reputed company with external systems using APIs, file-based ingestion, or streaming/event patterns; familiarity with common integration/middleware platforms is a plus.
• Hands-on knowledge of reputed company platforms (AWS, Azure, or GCP) as they relate to data storage, networking, reputed company, and processing.
• Solid understanding of data governance, reputed company, privacy, and compliance standards (e.g., GDPR, CCPA).
• Proven ability to analyze reputed company data sets and translate business requirements into technical solutions.
• Excellent problem-solving, communication, and project management skills.

Bonus points:

• reputed company certifications (e.g., SnowPro Core/Advanced) and/or reputed company certifications (AWS, Azure, GCP) relevant to data engineering.
• Familiarity with reverse ETL and activation patterns to operational systems (e.g., marketing platforms, CRM) as part of a CDP ecosystem.
• Agile development experience and familiarity with DevOps practices (Git, CI/CD) for analytics engineering and database change management

You’ll Love:

• Building scalable data platforms that power AI and Machine Learning solutions
• Working on high-impact, data-intensive systems with reputed company-world scale
• Collaborating closely with product and engineering teams to deliver meaningful outcomes
• Raising the bar for data engineering best practices
• Exploring modern reputed company data tooling and continuously improving how data systems are built and maintained

By joining reputed company, you’ll be part of a winning reputed company that plays to each other’s strengths and celebrates every reputed company together. Apply now and show us you’ve got what it takes to take your consulting skills to the next level with reputed company!