Job Description

Solutions Architect - Data Engineering

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What are we looking for

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real solver?

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Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer 'best practices,' and build solutions that make the future possible NOW, then you're speaking our language.

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- Improver. Solver. Futurist.
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- Great sense of humor.
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- 'Possible. It is.' Mindset.
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- Compassionate collaborator. Bold experimenter. Tireless iterator.
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- Natural creativity that doesn't just challenge the norm, but solves to design what's better.
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- Thinks in systems. Solves at scale.
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This Isn't for Everyone. But if you're the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we'd love to chat with you.

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Your Responsibilities

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what you will wake up to solve.

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You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

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As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.

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- Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
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- Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
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- Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
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- Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
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- Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
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- Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.
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The DNA of a 'Searcian'

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superpowers we value.

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The 'happier' core

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- happier-at-heart: humble, adaptable, positive, passionate, innovative, excellence-minded, responsible.
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- happier-in-action: Not just a poster on the wall; It's how we make decisions, treat each other, show up for clients & hire or promote people.
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- Thinks like a founder. Acts like an owner.
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- Always in Beta: Relentless curiosity. Openness to learn, un-learn, and re-learn.
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- Real Optimist: Views all setbacks as opportunities.
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- Believes in truth over comfort. Ideas over titles. Learning over knowing.
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- Embraces chaos with calm. Evolves faster than the market.
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Functional Skills:

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- Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
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- Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
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- Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
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- Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
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- Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
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- Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
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- Performance & Cost Optimization:



Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.
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Tech Superpowers:

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- Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in contemporary data warehouse solutions like Snowflake.
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- Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
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- AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
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- Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.
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Experience & Relevance:

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- Architectural Leadership (8+ Years): You bring extensive experience (8+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
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- Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
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- Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
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- Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
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- Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
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- AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.
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Join the 'real solvers'

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ready to futurify?

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If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the 'Art of the possible'.

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Don't Just Send a Resume. Send a Statement.

📌 Solutions Architect - Data Engineering (Bengaluru)
🏢 Searce
📍 Bengaluru