About this template
The ATS Structured template is a professional CV with a premium ATS layout in Roboto Slab, alternating grey bands, indigo dates and a strict label:value structure on every line. The colour-coded dates make the timeline scannable in seconds without breaking ATS parsing. The format passes the Workday, Greenhouse, Lever and SmartRecruiters ATS used by ERP vendors (SAP America, Oracle, Microsoft Dynamics, Workday Inc.), integrators (Accenture, Deloitte Consulting, Capgemini America, Infosys, TCS, Wipro) and the data departments of large enterprises (JPMorgan Data, Goldman Sachs Engineering, Microsoft Cloud + AI, Amazon Web Services).
Who is it for?
It suits senior data engineers, technical project managers (TPMs), ERP and SAP consultants, solution architects and any role where structured information beats prose. Particularly adapted to dense profiles (8-15 years, 5-8 client engagements) that a recruiter must scan at a glance. Also fits MLOps engineers, senior DevOps, SRE and data platform engineers transitioning into pure-play consulting (Accenture Data, Deloitte AI & Data, EY Parthenon Tech, McKinsey QuantumBlack).
How to use it
Four blocks structure the document — Engagements and projects (with client, duration, tech stack, role), Technical stack (by category: languages, frameworks, cloud, data, infra), Certifications (AWS Certified Solutions Architect Professional, GCP Professional Data Engineer, Microsoft Azure Solutions Architect Expert, SAP S/4HANA Architect), Education. For each engagement, follow the triplet context / actions / outcomes with 3 bullets maximum. Emphasise volumes processed (TB/day, requests per second, SKUs or customers served) and complexity (multi-cloud, multi-tenant, PCI-DSS / HIPAA / SOC 2 compliance). Long-tail: « senior data engineer CV », « SAP consultant resume template », « AWS solution architect CV », « cloud TPM resume », « senior DevOps engineer CV ».
Frequently asked questions
How do I quantify a data project with volumes processed?
Indicate volumes in native notation (TB/day, PB total, events per second, requests per second), target latency (p95, p99 in ms), achieved availability (99.9% or 99.99% SLA) and the stack used (Snowflake, Databricks, BigQuery, Redshift). For ML pipelines, mention the model (XGBoost, transformer, LLM) and the business metric (accuracy uplift, F1-score, churn reduction). Experienced data architects spot a fuzzy description immediately.
Should I cite cloud certifications (AWS, GCP, Azure)?
Yes — it is a screening criterion at Accenture, Deloitte, Capgemini and the IT departments of large enterprises. List active certifications with date obtained and expiration date. For AWS: Solutions Architect Associate / Professional, DevOps Engineer Professional, Database Specialty. For GCP: Professional Cloud Architect, Professional Data Engineer. For Azure: Solutions Architect Expert, DevOps Engineer Expert. Expired certifications must be renewed or removed from the CV.
Does the template work for a 15+ year senior profile?
Yes, but condense older engagements into summary lines (« 2008-2014: 6 ERP engagements at Capgemini Consulting for industrial and banking clients »). The label:value structure can present 8-10 recent engagements on page 1 and a synthesis block for the 5-7 older engagements on page 2. Avoid detailing every old engagement with 4 bullets — a senior recruiter looks for the past 3 years of fresh material.
