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Lead Data Engineer Job Description : · 6+ years of experience · Designer of federated computational governance, defining the rules, standards, and interoperability contracts that enable independently owned data products to compose into a coherent Data Mesh. · Acts less as a central modeler and more as a framework setter, establishing enterprise-wide architectural and governance standards while enabling domain autonomy. · Strong expertise in dimensional modeling, Data Vault 2.0, Anchor Modeling, and semantic/ontology modeling. · Experienced in Data Mesh architecture, including bounded-context decomposition using Domain-Driven Design (DDD) and identification of business domains. · Defines and differentiates Foundational Data Products, which represent a single record of truth from a source domain, from Derivative Data Products, which are composed across multiple domains. · Addresses polysemes and master entity reconciliation to ensure consistent business meaning and entity alignment across independently owned data products. · Defines interoperability standards including global identifier strategies, universal time and geographic dimensions, shared semantic layers, and enterprise-wide data contracts. · Experienced with semantic layer technologies such as Cube, dbt Semantic Layer, and AtScale, along with schema and contract evolution rules. · Applies governance frameworks including DCAM, DAMA-DMBOK, DataOps maturity models, data product taxonomy, and data stewardship operating models. · Establishes privacy and regulatory governance aligned with GDPR, CCPA, HIPAA, SOX, and PCI requirements, including data classification, retention, lineage, and impact analysis. · Designs reference architectures across lakehouse platforms, including Medallion Architecture versus Data Product Topology, event-driven architectures, and Change Data Capture (CDC) patterns. · Designs AI architecture covering governed RAG, agentic data-access patterns, knowledge graphs, AI-ready semantic layers, and model-data contracts. · Defines what makes a Data Product fit-for-purpose by establishing standards for quality, interoperability, discoverability, reliability, and usability. · Authors federated policy-as-code that runs on the data platform to automate governance, compliance, and architectural standards. · Establishes and ratifies the decision-rights model between central governance/platform teams and domain teams, balancing enterprise standards with domain-level ownership and autonomy. Apply via gihan@mytechjobs.lk
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.