Solutions Architect | Data Engineering

Searce Inc; Indonesia; On-site; IDR 360,000,000 - 720,000,000; Full time

Job summary

Searce Inc in Indonesia seeks an experienced Solutions Architect focused on data platforms and AI foundations. You will architect and build enterprise data infrastructure powering customers’ data intelligence ecosystem, owning end-to-end outcomes.

Expect hands-on work with Snowflake, Databricks, GCP, and AWS services (BigQuery, Spanner, Airflow, Kafka). You’ll lead data modeling, ingestion pipelines, governance, and cross-functional collaboration to deliver transformational data solutions.

Qualifications

• Architectural leadership for enterprise data platforms and AI readiness.
• Deep experience in data modeling, ingestion pipelines, and governance.
• Hands-on with Snowflake, Databricks, GCP and AWS services.

Responsibilities

• Collaborate with sales, engineering and operations to ensure project delivery.
• Design core data engineering solutions and data ingestion pipelines.
• Enable cloud and AI initiatives with scalable data platforms.
• Optimize performance and cost within cloud environments.
• Translate business requirements into technical designs for data teams.
• Stay ahead of trends in data technologies and architectures.

Skills

Architectural leadership

Data engineering core

Cloud data mastery

Pre-Sales storytelling

Data governance

Stakeholder communication

Python/SQL

Education

Bachelor's degree in CS or related field

Tools

Snowflake

Databricks

BigQuery

Spanner

Airflow

Kafka

Job description

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.

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 seated 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 coreGCP & 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 cutting edge.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business

outcomes. Our solvers co-innovate with clients to futurify operations and make processes

smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients.

The result? Modern business reinvention, built on math, tech, and clarity of purpose.

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.
• 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?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech

consultancy can do to futurify businesses, join and experience the ‘Art of the possible’.