Solutions Architect - Data Engineering

Searce Inc; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Searce Inc. is seeking a Solutions Architect focused on Data Engineering to build scalable, enterprise-grade data platforms. You will design data pipelines, govern data quality, and guide AI/ML enablement, working across cloud services (GCP, Snowflake) and modern tools like Databricks and Kafka.

You’ll lead architectural decisions, model data for analytics and integrate business requirements into robust technical designs, mentoring teams in a fast-paced environment.

Qualifications

• Architectural leadership in data engineering and platform building.

Responsibilities

• Solution Design & Pre-sales Excellence: Collaborate with cross‑functional teams to ensure delivery.
• Design Core Data Engineering: Master data modeling, architecting high‑performance data ingestion pipelines.
• Enable Cloud & AI: Design and implement solutions utilizing core GCP data services and AI/ML initiatives.
• Optimize Performance & Cost: Continuously optimize data architectures for performance and cost-effectiveness in the cloud.
• Bridge Business & Tech: Translate complex business requirements into clear technical designs and lead data engineering teams.
• Stay Ahead of the Curve: Research new data technologies and patterns to keep data platforms cutting edge.

Skills

Enterprise Data Architecture

Cloud Data Platform

Pre-Sales storytelling

Advanced Data Modelling

Data Ingestion & Pipeline Orches

Stakeholder Communication

Performance & Cost Optimization

Databricks

BigQuery

Airflow

Kafka

Snowflake

Python

SQL

GCP

Tools

Databricks

BigQuery

Airflow

Kafka

Snowflake

Python

SQL

GCP

Job description

Solutions Architect - Data Engineering

real solver?

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.

• Improver. Solver. Futurist.
• Great sense of humor.
• ‘Possible. It is.’ Mindset.
• Compassionate collaborator. Bold experimenter. Tireless iterator.
• Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
• Thinks in systems. Solves at scale.

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.

Your Responsibilities

what you will wake up to solve.

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‑seeded passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

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.

• Solution Design & Pre‑sales Excellence:Collaborate with cross‑functional teams, including sales, engineering, and operations, to ensure successful project delivery.
• Design Core Data Engineering:Master data modeling, architecting high‑performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
• 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.
• Optimize Performance & Cost:Continuously optimize data architectures and implementations for performance, efficiency, and cost‑effectiveness within the cloud environment.
• Bridge Business & Tech:Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
• 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.

The DNA of a ‘Searcian’

superpowers we value.

The ‘happier’ core

• happier-at-heart: humble, adapable, positive, passionate, innovative, excellence‑mind‑ed, responsible.
• 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.
• Thinks like a founder. Acts like an owner.
• Always in Beta:Relentless curiosity. Openness to learn, un‑learn, and re‑learn.
• Real Optimist:Views all setbacks as opportunities.
• Believes in truth over comfort. Ideas over titles. Learning over knowing.
• Embraces chaos with calm. Evolves faster than the market.

Functional Skills:

• Enterprise Data Architecture Design:Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
• Cloud Data Platform Strategy:Proven capability to strategize, design, and implement cloud‑native data platforms.
• 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.
• Advanced Data Modelling:Mastery in designing various data models for analytical, operational, and transactional use cases.
• Data Ingestion & Pipeline Orchestration:Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
• Stakeholder Communication:Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non‑technical stakeholders.
• Performance & Cost Optimization:Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.

Tech Superpowers:

• 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 modern data warehouse solutions like Snowflake.
• 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.
• AI/ML Data Foundation:You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
• Programming for Data:You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.

Experience & Relevance:

• Architectural Leadership (8+ Years):You bring extensive experience (8+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
• 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).
• 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.
• Databricks & BigQuery Mastery:You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
• 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.
• AI/ML Data Enablement:Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.

Join the ‘real solvers’

ready to futurify?