Senior Advisory Software Engineer

We’re hiring at Pitney Bowes, where top talent builds meaningful careers and lasting impact. We Move fast, Deliver excellence, and Win together…that’s The Pitney Bowes way. Here, how we work matters just as much as what we achieve.

We’re looking for people who:

• Act with urgency, accountability, and purpose

• Deliver high quality work with consistency and pride

• Collaborate effectively and elevate those around them

• Focus on outcomes that drive impact and growth

Job Description:

Impact

As a Senior Advisory Sftware Engineer, you will lead the design and evolution of scalable, secure, and high-performance data platforms built on modern cloud-native technologies. You will define enterprise data architecture, establish engineering best practices, and drive the design of reliable, cost-efficient, and resilient data pipelines across batch and real-time workloads.

You will work closely with product, engineering, analytics, DevOps, and business teams to translate complex data requirements into robust technical solutions. This role requires deep expertise in Snowflake, cloud data platforms, streaming technologies, data governance, and production troubleshooting while mentoring engineering teams and driving architectural excellence.

The Job

• Define and drive enterprise data architecture for large-scale cloud-based analytics platforms.
• Design and build scalable, resilient, and high-performance data pipelines using Snowflake and AWS services.
• Lead architecture discussions, solution design, and technical decision-making for data engineering initiatives.
• Design and implement end-to-end ETL/ELT pipelines for structured, semi-structured, and streaming data.
• Develop robust ingestion frameworks using Snowpipe, COPY INTO, Streams, Tasks, Dynamic Tables, and Stored Procedures.
• Design efficient dimensional and analytical data models to support reporting, analytics, and downstream applications.
• Optimize Snowflake performance through query tuning, warehouse sizing, clustering strategies, materialized views, and caching techniques.
• Drive cloud cost optimization by implementing efficient warehouse management, storage lifecycle policies, and workload optimization.
• Design real-time streaming architecture using AWS Kinesis, Lambda, and event-driven processing patterns.
• Implement enterprise-grade data governance including RBAC, masking policies, row-level security, auditing, and regulatory compliance.
• Design scalable and secure data-sharing solutions across business units and external partners.
• Monitor and troubleshoot production data pipelines using observability tools, logs, metrics, and data quality platforms.
• Perform production triage, root cause analysis, and ensure timely resolution of critical data platform issues.
• Create and maintain architecture artifacts including data flow diagrams, logical and physical data models, UML diagrams, and HLD/LLD documentation.
• Collaborate with DevOps teams to automate CI/CD pipelines and infrastructure deployment for data platforms.
• Mentor data engineers, conduct design reviews, and promote engineering best practices across teams.
• Ensure data platform reliability, scalability, security, and operational excellence.
• Work in an Agile environment with ownership of end-to-end delivery.
• Participate in production support and incident management when required.

Qualifications & Skills required

The role requires a talented, self-directed, and self-motivated individual with a strong work ethic and the following qualifications, experience, and skills:

• 9+ years of experience in Data Engineering, Data Warehousing, or Data Platform development.
• 7+ years of experience designing enterprise-scale data architectures.
• Deep expertise in Snowflake including Snow pipe, COPY INTO, Streams, Tasks, Dynamic Tables, Stored Procedures
• Query optimization using Query Profile, EXPLAIN plans, and Query History
• Warehouse sizing, clustering keys, materialized views, and result caching
• Time Travel, Fail-safe, Data Sharing, Snowflake Marketplace
• ACCOUNT_USAGE and INFORMATION_SCHEMA monitoring
• Strong experience in dimensional data modeling, star/snowflake schemas, and semi-structured data (VARIANT, FLATTEN, PARSE_JSON).
• Hands-on experience with AWS services including S3, Kinesis Data Streams, Kinesis Firehose, Lambda, IAM, and CloudWatch.
• Experience designing real-time and event-driven data processing pipelines.
• Strong expertise in production troubleshooting, performance tuning, and root cause analysis.
• Experience with data observability platforms such as Monte Carlo.
• Experience using Sumo Logic for log aggregation, monitoring, dashboarding, and troubleshooting.
• Experience developing and maintaining integration pipelines using SnapLogic.
• Strong working knowledge of MongoDB includes schema design, indexing strategies, aggregation framework, and query optimization.
• Experience implementing RBAC, data masking, row-level security, and enterprise data governance.
• Proficiency with Git, CI/CD pipelines, and infrastructure automation.
• Strong understanding of distributed systems, cloud-native architectures, and scalable data platforms.
• Ability to create architecture documentation including HLD, LLD, UML, and data flow diagrams.
• Experience handling production support, incident management, and SLA-driven environments.
• Familiarity with Agile and Scrum methodologies.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently in a fast-paced, matrixed organization.

Good to Have

• Experience with Python for data engineering and automation.
• Knowledge of Data Mesh, Data Fabric, and modern data architecture patterns.
• Experience with enterprise metadata management, data cataloging, and lineage tools.
• Knowledge of data security, privacy regulations, and governance frameworks.
• Experience modernizing legacy data platforms and migrating workloads to Snowflake.

Pitney Bowes (NYSE: PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Small business, retail, enterprise, and government clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels. For additional information visit Pitney Bowes at www.pitneybowes.com.

We will:

• Provide the will: opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally (PB Benefits and Wellbeing Programs)

Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace.
All interested individuals must apply online.