Senior Data Engineer

As a Senior Data Engineer, you will play a critical role in shaping the architecture, implementation, and reliability of our cloud-native data platforms. You’ll be responsible for designing and developing scalable data solutions that support analytics, automation, and business operations across Inmar. You will work with a modern tech stack—including Big Query, Airflow, Python, and Pub/Sub—within a Google Cloud Platform (GCP) environment, building pipelines that are secure, cost-effective, and observable.

This role is ideal for someone who thrives on solving complex data challenges, mentoring junior engineers, and delivering high-impact, production-grade solutions, while collaborating cross-functionally across teams.

• Design, build, and optimize scalable, secure, and observable data pipelines using tools like Big Query, Dataflow, Cloud Functions, Pub/Sub, and Airflow (Composer).
• Translate technical concepts into clear, actionable plans for technical and non-technical stakeholders.
• Conduct data profiling and source system analysis to design reliable ingestion and transformation processes.
• Build reusable, automated frameworks that support batch and streaming workflows, while continuously evaluating new tools and patterns to improve performance, reliability, and cost.
• Ensure data solutions align with enterprise standards, security policies, and compliance requirements (e.g., HIPAA, CCPA).
• Design and maintain data models that support OLTP, OLAP, and ML use cases.
• Implement and maintain metadata management, data lineage, and impact analysis practices.
• Own production issues end-to-end, including root cause analysis (RCA) and resolution with preventative improvements.
• Collaborate in Agile environments—contributing to sprint planning, backlog refinement, and iterative delivery.
• Provide mentorship and technical guidance to junior engineers through code reviews, knowledge sharing, and design discussions.

• B.S. in Computer Science, Information Systems, or related field required, or 8+ years equivalent experience in data engineering.
• Proven experience designing, building, and optimizing cloud-native, scalable, cost-efficient data pipelines and architectures, particularly on Google Cloud Platform (preferred); familiarity with AWS or Azure is a plus.
• Advanced skills in Python and SQL, familiarity with dbt, Airflow, Terraform, CI/CD pipelines.
• Experience with batch and streaming technologies such as Kafka, Spark, Dataflow, and Pub/Sub.
• Expertise with GCP-native tools such as Big Query, Cloud Functions, Cloud Workflows, GCS, and Data stream.
• Skilled at balancing performance, reliability, and cost.
• Demonstrated ability to implement automated monitoring, alerting, and data quality checks for production-grade data pipelines.
• Experience with relational and No
  
  SQL databases, such as Postgres, SQL Server and Cassandra.
• Practical knowledge of data modeling and design for OLTP, OLAP, and real-time systems to support analytics, operations, and ML use cases.
• Familiarity with AI/ML workflows, including feature engineering, model training, and real-time inference; experience with Vertex AI or similar platforms is a plus.
• Exposure to enterprise SaaS and ERP integrations (e.g., Oracle Cloud ERP, Salesforce, Workday, Ironclad, Replicon) and partnerships with external data vendors.
• Understanding of data governance practices, including lineage, metadata, access controls, and privacy compliance (e.g., HIPAA, CCPA, etc.).
• Comfortable working in Agile/Scrum environments, contributing to iterative delivery, sprint planning, and technical scoping.
• Proven ability to work cross-functionally with data analysts, product managers, privacy, security, and business teams to deliver trusted, actionable data products.
• Strong problem-solving skills with experience in root cause analysis, writing postmortems, and driving incident resolution and continuous improvement in data platforms.

• Integrity:
  Builds trust by taking ownership of actions, following through on commitments, and communicating with transparency.
• Technical Mentorship:
  Supports the growth of junior…