Okay, I've searched for Adobe Data Engineer roles in Dallas, TX with hybrid work mode, requiring 10+ years of experience, and strong expertise in Snowflake and MarTech. I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Adobe Data Engineer role at Blue Acorn iCi is fundamentally about architecting, implementing, and optimizing data solutions within marketing technology environments, specifically focusing on Customer Data Platforms (CDP) and data warehousing. Success in this role requires not only deep technical expertise but also the ability to translate complex technical concepts into clear, actionable insights for diverse stakeholders, reflecting an intersection of technology and business. The candidate needs to be adept in cloud data platforms like Snowflake and Azure, real-time and batch data pipeline management, and MarTech/CDP-specific data integration challenges. This role demands rigorous attention to data quality, governance, and security, suggesting that the candidate will often face challenges around scalability, performance optimization, and data compliance. Cross-functional collaboration with project teams and clients will be frequent, indicating strong communication skills and stakeholder management are essential. To excel, the individual must anticipate evolving marketing data needs and help design future-proof, scalable data architectures while meeting tight delivery timelines and quality standards. Performance in the first 6-12 months likely hinges on smoothly integrating with client teams, delivering stable, high-quality data pipelines, and contributing thought leadership around MarTech data strategies.

Company Analysis:

Blue Acorn iCi, as a digital customer experience consultancy and an Infosys subsidiary, occupies a premium and growth-oriented niche that blends analytics, commerce, and experience-driven digital solutions. It is both a disruptor and a stabilizing force enabling legacy and emerging brands to scale digitally with tailored solutions matched to their stage of maturity. The company values innovation, collaboration, and strategic partnership, emphasizing a data-driven approach to enhancing customer journeys. For this role, that translates into working within a culture that demands technical excellence alongside empathy for client challenges and a consultative mindset. The hybrid and client-facing nature of the role suggests a balanced culture of autonomy mixed with collaboration, underpinned by a commitment to delivering measurable client outcomes. The candidate will likely operate within a matrixed delivery team, interacting with data architects, analysts, marketing stakeholders, and technical leadership—indicating strong cross-team visibility. Strategically, the data engineer is a critical enabler of Blue Acorn iCi’s promise to drive highly personalized, scalable marketing data ecosystems as part of broader digital transformation engagements, positioning the hire as both a technical specialist and a trusted advisor in the client lifecycle.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to explain a complex data engineering solution to non-technical stakeholders. How did you ensure understanding and alignment?
• Behavioral: Describe an instance where you identified a data quality issue that impacted a marketing campaign or customer experience. How did you address it?
• Behavioral: Can you share an experience where you collaborated across multiple teams to deliver a data solution under a tight deadline? What challenges did you face and how did you overcome them?
• Behavioral: Share a time when you proactively contributed to improving data governance or security practices within a data engineering project.
• Technical: How would you design a scalable ETL/ELT data pipeline in Snowflake to support both batch and real-time data ingestion from multiple marketing platforms?
• Technical: Walk me through how you would implement identity graph modeling using Adobe Experience Platform's Experience Data Model (XDM). What challenges might you anticipate?
• Technical: What strategies and tools would you use to monitor and optimize performance of data pipelines built on Apache Airflow and Kafka Streams?
• Technical: Discuss your experience with integrating Azure cloud services, such as Event Hubs, with Snowflake. What considerations are critical in such an architecture?
• Situational: Imagine a client requests rapid onboarding of a new data source with limited documentation. How would you approach ensuring data accuracy and timely delivery?
• Situational: Suppose you discover that a key data connector intermittently fails, causing delays in a critical marketing dashboard. How do you prioritize and communicate this issue to stakeholders?
• Situational: If asked to lead a data governance initiative for a client concerned about regulatory compliance, what key steps and frameworks would you propose?
• Company Fit: What draws you to Blue Acorn iCi as a data engineering professional, and how do you see your skills aligning with our mission to enhance customer experience through data?
• Company Fit: Considering our focus on digital transformation and integrated commerce, how would you approach continuous learning and innovation in this role?
• Company Fit: How do you thrive working in a hybrid model with a mix of onsite and remote collaboration, particularly within a fast-paced consulting environment?
• Questions for Interviewer: How does Blue Acorn iCi measure success for data engineering roles within client delivery teams?
• Questions for Interviewer: Can you describe the typical cross-functional interactions an Adobe Data Engineer can expect here and how they contribute to client outcomes?
• Questions for Interviewer: What are the current biggest challenges Blue Acorn iCi faces in scaling its MarTech capabilities, and how can this role impact those efforts?