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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior, niche data-architecture role with 9+ years and industrial domain expertise reduces qualified applicant density.
Requires industrial domain and deep data engineering experience, limiting cross-industry transferability.
Explicit 9+ years and mandatory data engineering, Python, SQL, and cloud skills make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end architecture and solution design for large industrial customers to improve productivity, profitability, and sustainability.
Own technical strategy and enterprise architecture including integration, data models, and user-facing solutions.
Build and maintain relationships with key stakeholders and support solution adoption, including operational responsibility for delivered solutions.
Minimum Requirements
9+ years experience as Data Engineer.
Strong technical background with hands-on coding skills in Python; familiarity with SQL, Java, REST APIs, and cloud platforms (Azure, AWS, Google).
Experience working with industrial customers in sectors like Manufacturing, Energy, Oil & Gas, Pharma, or Life sciences preferred but not mandatory.
Willingness to travel as needed.
Ideal Candidate Profile
Senior-level individual contributor comfortable with hands-on software development and advanced data engineering topics.
Experienced in navigating complex industrial domains with large-scale data solutions and integration challenges.
Able to independently lead and coach project teams while collaborating effectively across sales, engineering, and product management to align customer needs with product roadmaps.