Technical Architect

SQUARESHIFT TECHNOLOGIES<\/span><\/span><\/b><\/span><\/span>
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Technical Architect<\/span><\/span><\/b><\/span><\/span>
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Location: <\/span><\/span><\/b><\/span><\/span>Chennai, India (Hybrid) <\/span><\/span><\/span><\/span>| Practice: <\/span><\/span><\/b><\/span><\/span>Cloud, Data & AI <\/span><\/span><\/span><\/span>| Reports to: <\/span><\/span><\/b><\/span><\/span>Director of Engineering<\/span><\/span><\/span><\/span>
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About SquareShift<\/span><\/span><\/b><\/span><\/span>
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SquareShift is a Google Cloud Premier Partner, Looker Delivery\-Verified Partner, and Elastic Professional Services partner. We design and build production cloud, data, and AI/ML systems for ISVs, SaaS companies, and enterprises across the US and India.<\/span><\/span><\/span><\/span>
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Our work is technically dense \u2014 multi\-tenant data platforms on BigQuery, semantic layer migrations to Looker, observability and SIEM on Elasticsearch, and a growing portfolio of internal agentic AI products. Architects at SquareShift are not slide\-deck architects. They write reference implementations, pair with engineers, and own technical decisions all the way to production.<\/span><\/span><\/span><\/span>
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The Role<\/span><\/span><\/b><\/span><\/span>
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We are hiring a Technical Architect to lead the design of our most complex engagements and to set the technical direction for one of our practice areas \u2014 Cloud & Data Platforms, AI/ML & Agentic Systems, or Observability & Search.<\/span><\/span><\/span><\/span>
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You will be the senior technical voice on 2\u20133 concurrent engagements: scoping with clients in pre\-sales, owning the architecture from RFC to go\-live, and resolving the hard problems that engineers cannot resolve alone. You will also help shape our reusable accelerators (T2L, M2L, P2L, C2L for BI migrations; agent frameworks for Conversational BI and AIResolveX) so that the second engagement of a kind is faster and cleaner than the first.<\/span><\/span><\/span><\/span>
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What You Will Own<\/span><\/span><\/b><\/span><\/span>
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Architecture & Design<\/span><\/span><\/b><\/span><\/span>
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Lead end\-to\-end architecture for client engagements: data platforms on GCP (BigQuery, Cloud Run, GKE, Dataflow, Pub/Sub), semantic layers in LookML, agent systems on Vertex AI / Google ADK, or Elasticsearch/OpenSearch deployments at scale.<\/span><\/span><\/span><\/span>
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Make the deployment\-platform call \u2014 Cloud Run vs GKE vs serverless \u2014 based on workload shape, latency, cost, and the client's operational maturity. Document the trade\-off, don't default to one.<\/span><\/span><\/span><\/span>
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Write architecture decision records that engineers can build from and clients can defend internally \u2014 covering trade\-offs, alternatives considered, and operational implications.<\/span><\/span><\/span><\/span>
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Own non\-functional requirements: latency targets, cost envelopes, security posture (HIPAA/GDPR/PII handling where relevant), observability, and disaster recovery.<\/span><\/span><\/span><\/span>
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Design for multi\-tenancy, scale, and the realities of consulting handover \u2014 code that the client team can run after we leave.<\/span><\/span><\/span><\/span>
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Hands\-On Build<\/span><\/span><\/b><\/span><\/span>
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Write reference implementations and the hardest 10\u201320% of code on each engagement \u2014 the pieces that unblock the rest of the team.<\/span><\/span><\/span><\/span>
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Run spikes and POCs to de\-risk new patterns before they hit a delivery plan.<\/span><\/span><\/span><\/span>
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Pair with senior engineers on debugging, performance tuning, and production go\-lives.<\/span><\/span><\/span><\/span>
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Pre\-Sales & Technical Strategy<\/span><\/span><\/b><\/span><\/span>
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Partner with Pre\-Sales on scoping calls, technical workshops, and SOW reviews. You are the engineer in the room when a prospect's CTO is asking hard questions.<\/span><\/span><\/span><\/span>
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Build and maintain reusable accelerators, reference architectures, and migration playbooks within your practice area.<\/span><\/span><\/span><\/span>
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Represent SquareShift externally \u2014 partner technical reviews with Google Cloud and Elastic, blog posts, conference talks, and the occasional joint webinar.<\/span><\/span><\/span><\/span>
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What You Need to Have<\/span><\/span><\/b><\/span><\/span>
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10+ years in software/data engineering, with at least 3 years in an architect, principal, or staff\-level role owning systems end\-to\-end.<\/span><\/span><\/span><\/span>
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Deep, current expertise in at least one of our practice areas:<\/span><\/span><\/span><\/span>
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Cloud & Data \u2014 BigQuery at scale, Looker/LookML modelling, GCP services (Cloud Run, GKE/Kubernetes, Dataflow, Pub/Sub, Vertex AI), Helm and container deployment patterns, and modern data stack tooling (dbt, Airflow).<\/span><\/span><\/span><\/span>
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AI/ML & Agentic Systems \u2014 production LLM applications, RAG architectures, agent orchestration (ADK, LangGraph, MCP), evaluation frameworks, and cost/latency engineering for LLM workloads.<\/span><\/span><\/span><\/span>
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Observability & Search \u2014 Elasticsearch/OpenSearch cluster design, ingest pipelines, SIEM/security analytics, and capacity planning at multi\-TB ingestion scales.<\/span><\/span><\/span><\/span>
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Production track record. You can point to systems running today, with traffic, that you designed and helped build.<\/span><\/span><\/span><\/span>
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Strong design communication. Your RFCs and diagrams are clear enough that a senior client architect can disagree with you on substance, not on what you meant.<\/span><\/span><\/span><\/span>
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Pragmatism. You optimise for the outcome \u2014 not the most novel framework. You know when boring infrastructure is the right answer.<\/span><\/span><\/span><\/span>
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Bonus Points For<\/span><\/span><\/b><\/span><\/span>
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Hands\-on experience with Anthropic Claude, Google ADK, OpenRouter, or similar agent platforms in production.<\/span><\/span><\/span><\/span>
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Background in BI migrations to Looker from Tableau, MicroStrategy, Cognos, or Power BI.<\/span><\/span><\/span><\/span>
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Elastic certifications, Google Cloud Professional certifications, or open\-source contributions in our ecosystem.<\/span><\/span><\/span><\/span>
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Prior experience in a consulting or partner\-led delivery model \u2014 you understand the rhythm of pre\-sales, SOW, delivery, and handover.<\/span><\/span><\/span><\/span>
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Why This Role Is Worth Your Time<\/span><\/span><\/b><\/span><\/span>
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Architecture with teeth. Our architects ship code, not just decks. If you have been quietly frustrated by architect roles that drift from production, this is a course correction.<\/span><\/span><\/span><\/span>
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Variety with depth. Multiple engagements per year across genuinely different problem spaces \u2014 without the chaos of a body\-shop model.<\/span><\/span><\/span><\/span>
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Direct partner access. Real working relationships with Google Cloud and Elastic engineering teams; you will ship things that show up in case studies and partner reviews.<\/span><\/span><\/span><\/span>
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Influence on the AI roadmap. Our agentic product portfolio (Conversational BI, AIResolveX, Agentic QA) is being designed now. Architects here help decide where it goes.<\/span><\/span><\/span><\/span>
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