Data Platform Integration Engineer (Senior Associate)

We are looking for a Platform Integration Engineer to join our engineering team and take on one of our most strategically important challenges: unifying a diverse ecosystem of analytics applications under a coherent, scalable technology platform. What You’ll Do Platform Unification & Integration Audit existing analytics applications to understand their underlying technology choices, data flows, and integration points. Design and implement integration patterns (APIs, event streams, shared data contracts) that allow siloed applications to interoperate without unnecessary rewrites. Evaluate build vs. consolidate vs. federate tradeoffs for components across the platform, documenting your rationale and driving alignment. Build and maintain shared platform services – authentication, observability, configuration management, logging – that reduce duplication across applications. Data Pipeline & ETL Engineering Develop a deep understanding of existing data pipelines owned by distributed teams – including their data sources, transformation logic, and dependencies. Design and build a unified presentation layer that surfaces data from heterogeneous compute environments – including large‑scale distributed systems (e.g., Spark) and traditional relational databases – in a consistent, accessible way. Partner with domain teams who have the deepest knowledge of their own data, acting as an integration architect and collaborator rather than a centralized pipeline owner; identify unification opportunities but defer to domain expertise on data semantics and processing logic. Cloud Infrastructure Deploy and manage platform services on cloud infrastructure (AWS preferred; Azure/GCP experience a plus). Contribute to infrastructure‑as‑code practices using tools such as Terraform, CDK, or Pulumi. Collaborate with DevOps/SRE to define deployment pipelines and reliability standards for integration services. Construct evidence‑based business cases for cloud feature adoption – translating technical requirements into business value, risk reduction, and compliance language that resonates with IT governance and procurement stakeholders. Required Qualifications BA or BS required, preferably in Computer Science, Engineering, or a technology‑based discipline. 5+ years of software engineering experience, with 3+ years focused on integration, platform, or infrastructure work. Proficiency in at least one back‑end language commonly used in data‑intensive systems (Python, Go, Java, or similar); proficiency in two or more languages strongly preferred. Hands‑on experience with cloud platforms (AWS strongly preferred) including compute, storage, networking, and managed services. Experience building and operating data pipelines (ETL/ELT), including schema management and data quality monitoring. Working experience with AI‑assisted development tooling in a professional engineering context. Strong written communication skills – able to produce clear architecture decision records (ADRs), runbooks, and design documents. This role requires up to 10% travel per year. Preferred Qualifications Experience evaluating and rationalizing heterogeneous technology stacks – inheriting systems you didn’t design and making them work together. Familiarity with analytics or ML platform tooling (e.g., Airflow, dbt, MLflow, Spark, or SaaS equivalents). Experience with API gateway management, service mesh, or distributed tracing tooling. Background working with both structured (SQL) and semi‑structured (JSON, Parquet, Avro) data at scale. How You Work Pragmatic over dogmatic – you reach for the right solution given real constraints, not the theoretically perfect one. Communicates tradeoffs clearly to both technical peers and non‑technical stakeholders. Comfortable making a recommendation and defending it, but genuinely updates when presented with better information. Brings structure to ambiguous problems – you can walk into a complex legacy system and produce a clear map of what’s there. Understands that “don’t touch what works” and “build it right” are often both correct answers, depending on context. Takes ownership of quality and reliability – you care about what happens after you ship. What We Offer Flexible remote‑first or hybrid work environment. Opportunity to define integration and platform patterns that will shape the organization’s technical direction. The estimated base salary for this job is $120,000 – $165,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, reflecting Huron’s pay‑for‑performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $134,400 – $194,700 USD. Salary range information is provided in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future. The job is also eligible to participate in the company’s benefit plans which include medical, dental and vision coverage and other wellness programs. Equal Employment Opportunity Statement Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship, or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug‑free workplace. #J-18808-Ljbffr Huron Consulting Group Inc.