Data Architect

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

Job summary

Searce Inc is seeking a Solutions Architect to lead data engineering and cloud platform initiatives. You will architect and build foundational data infrastructure powering enterprise analytics and AI initiatives, hands-on with Snowflake, Databricks, GCP & AWS.

You will own end-to-end delivery, design scalable data models, pipelines, and governance, while translating business needs into robust technical designs and guiding cross-functional teams.

Qualifications

• 8+ years in architectural leadership as a Solutions Architect focused on data engineering.
• Proven production-grade data solutions on public clouds, esp. GCP.
• Hands-on with Databricks and BigQuery for analytics.
• Experience with Airflow and Kafka for data pipelines.
• Able to translate business requirements into robust technical designs.

Responsibilities

• Solution Design: Collaborate with cross-functional teams to ensure project delivery.
• Design Core Data Engineering: Master data modelling and high-performance pipelines with governance.
• Enable Cloud & AI: Design solutions using core GCP data services for analytics/AI initiatives.
• Optimize Performance & Cost: Improve data architectures for efficiency and cost.
• Bridge Business & Tech: Translate business needs into technical designs and lead teams.
• Stay Ahead of the Curve: Research new data technologies and patterns.

Skills

Data Architecture

Cloud Platform Strategy

Pre-Sales Storytelling

Advanced Data Modelling

Data Ingestion & Pipelines

Stakeholder Communication

Cloud Data Mastery

Data Engineering Core

AI/ML Data Foundation

Programming: Python/SQL

Tools

Snowflake

Databricks

BigQuery

Spanner

Apache Airflow

Apache Kafka

GCP

AWS

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: 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’.