Lead Data Engineer

<p>&nbsp;</p> <div class="qMYqUG_convSearchResultHighlightRoot"> <div class="" data-turn-id-container="request-6a05dcbd-c934-83e9-88e6-d230480f8a93-7" data-is-intersecting="true"> <div class="relative w-full overflow-visible"> <section class="text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])>*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-6a05dcbd-c934-83e9-88e6-d230480f8a93-7" data-turn-id-container="request-6a05dcbd-c934-83e9-88e6-d230480f8a93-7" data-testid="conversation-turn-74" data-scroll-anchor="false" data-turn="assistant"> <div class="text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)"> <div class="[--thread-content-max-width:40rem] @w-lg/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn"> <div class="flex max-w-full flex-col gap-4 grow"> <div class="min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1" data-message-author-role="assistant" data-message-id="a82f579c-e4dc-43a4-8120-35e56a30b8be" data-message-model-slug="gpt-5-5" data-turn-start-message="true"> <div class="flex w-full flex-col gap-1 empty:hidden"> <div class="markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling"> <p data-start="20" data-end="53"><strong data-start="20" data-end="34">Job Title:</strong> Lead Data Engineer</p> <p data-start="55" data-end="177"><strong data-start="55" data-end="70">Key Skills:</strong> Azure Databricks, DBT, Snowflake, Terraform, SQL, ETL/ELT, Azure, CI/CD, Data Migration, Data Architecture</p> <p data-start="179" data-end="202"><strong data-start="179" data-end="194">Experience:</strong> +8 YOE.</p> <p data-start="204" data-end="266"><strong data-start="204" data-end="217">Location:</strong> Costa Rica</p> <p data-start="268" data-end="285"><strong data-start="268" data-end="277">Mode:</strong> Remote.</p> <p data-start="287" data-end="373">We at Coforge are hiring <strong>Lead Data Engineer (#20627)</strong> with the following skill set.</p> <h3 data-section-id="164ueu3" data-start="375" data-end="399">Key Responsibilities</h3> <ul data-start="401" data-end="1097"> <li data-section-id="qwqxs9" data-start="401" data-end="571">Lead and mentor a team of data engineers, providing technical guidance, code reviews, and engineering best practices to ensure scalable and high-quality data solutions.</li> <li data-section-id="atkbmg" data-start="572" data-end="742">Own and drive end-to-end data migration initiatives from Snowflake on AWS to Azure Databricks and DBT, including planning, execution, optimization, and risk mitigation.</li> <li data-section-id="rg3vzw" data-start="743" data-end="912">Design, implement, and oversee scalable, secure, and reliable data pipelines, cloud infrastructure, and ETL/ELT frameworks using Azure, Databricks, DBT, and Terraform.</li> <li data-section-id="caqohi" data-start="913" data-end="1097">Collaborate with cross-functional stakeholders to define data architecture standards, governance, CI/CD practices, and long-term platform strategies aligned with business objectives.</li> </ul> <h3 data-section-id="1g5tqtl" data-start="1099" data-end="1135">Required Skills &amp; Qualifications</h3> <ul data-start="1137" data-end="2241"> <li data-section-id="1k1ce5y" data-start="1137" data-end="1268">Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Engineering, or equivalent practical experience.</li> <li data-section-id="1fsyxia" data-start="1269" data-end="1374">8+ years of experience in Data Engineering, including 2–3 years in a leadership or technical lead role.</li> <li data-section-id="nmu7xp" data-start="1375" data-end="1484">Proven experience leading data engineering teams and delivering enterprise-scale data platform initiatives.</li> <li data-section-id="1jxbb8o" data-start="1485" data-end="1555">Strong hands-on expertise with Snowflake, Azure Databricks, and DBT.</li> <li data-section-id="1hcixid" data-start="1556" data-end="1654">Deep experience with cloud infrastructure, Terraform, and infrastructure-as-code best practices.</li> <li data-section-id="159nkfi" data-start="1655" data-end="1754">Strong experience delivering cloud migration projects, preferably from AWS to Azure environments.</li> <li data-section-id="1mmzgkd" data-start="1755" data-end="1855">Advanced SQL proficiency with strong expertise in data modeling and ETL/ELT architecture patterns.</li> <li data-section-id="1xkabm8" data-start="1856" data-end="1960">Experience with CI/CD pipelines, Git-based version control, and modern software engineering workflows.</li> <li data-section-id="101ld3p" data-start="1961" data-end="2078">Strong understanding of scalable data architecture, performance optimization, governance, and platform reliability.</li> <li data-section-id="1pwvwiz" data-start="2079" data-end="2241">Mandatory experience in the insurance industry, including familiarity with insurance data domains such as policies, claims, underwriting, and related processes.</li> </ul> <h3 data-section-id="jk54m3" data-start="2243" data-end="2264">Preferred Skills:</h3> <ul data-start="2266" data-end="2698"> <li data-section-id="1eni8c3" data-start="2266" data-end="2382">Experience with data governance frameworks including data lineage, cataloging, observability, and quality tooling.</li> <li data-section-id="1qmkz9o" data-start="2383" data-end="2498">Familiarity with streaming and real-time processing technologies such as Kafka, Event Hubs, or Delta Live Tables.</li> <li data-section-id="tl85zs" data-start="2499" data-end="2592">Experience designing lakehouse architectures and implementing cost optimization strategies.</li> <li data-section-id="1do8tcj" data-start="2593" data-end="2698">Exposure to multi-cloud environments, security/compliance standards, and advanced automation practices.</li> </ul> <p data-start="2700" data-end="2725"><strong data-start="2700" data-end="2714">Posted On:</strong> 14-05-2026</p> <p data-start="2727" data-end="2915" data-is-last-node="" data-is-only-node="">At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.</p> </div> </div> </div> </div> <div class="mt-3 w-full empty:hidden">&nbsp;</div> </div> </div> </section> </div> </div> </div>