Senior Solution Architect - Databricks

Visa Hunt

Singapore

On-site

SGD 180,000 - 280,000

Full time

14 days+

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Job summary

Avensys Consulting Pte Ltd in Singapore is seeking a Senior Solution Architect for Databricks to lead end-to-end data platform engagements across industries. You will design scalable data architectures, oversee Databricks PS collaborations, and deliver robust data ingestion and processing pipelines.

The role requires 8–10 years in data architecture/engineering, hands-on Databricks experience, Unity Catalog, Delta Lake, and Spark.

Qualifications

  • Extensive hands-on Databricks experience with workspace and cluster management.
  • Unity Catalog implementation experience for unified governance and access control.
  • Strong data modelling skills including dimensional modelling and lakehouse architectures.
  • Delta Lake knowledge including ACID, time travel, optimizations.
  • Proficiency in Spark SQL, DataFrames, and performance tuning.
  • Programming skills in Python/SQL/Scala for data processing.
  • Experience with cloud platforms (Azure, AWS, GCP).
  • Experience with data pipelines and ETL/ELT processes.
  • Knowledge of data governance frameworks and metadata management.
  • CI/CD practices for data platforms and data quality validation.
  • Understanding of data security, privacy, and regulatory requirements.

Responsibilities

  • Collaborate with Databricks PS and customers on end-to-end data architecture on Databricks platform.
  • Design and implement data ingestion strategies from multiple source systems.
  • Architect scalable storage using Delta Lake and lakehouse architectures.
  • Develop efficient data processing using Apache Spark and Databricks workflows.
  • Create data consumption layers for analytics, reporting and ML use cases.
  • Ensure seamless data flow across the complete data lifecycle.

Skills

Databricks Platform
Unity Catalog
Data Modelling
Delta Lake
Apache Spark
Programming: Python/SQL/Scala
Cloud Platforms
Data Pipeline/ETL/ELT
Governance/Metadata
CI/CD for data platforms
Data quality & validation
Security & compliance

Job description

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking to hire Senior Solution Architect - Databricks.

This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Role:
Job Description
Essential Technical Skills
  • Databricks Platform: Proven hands-on experience with Databricks platform including workspace administration, cluster management, and workflow orchestration
  • Unity Catalog: Demonstrated experience implementing Unity Catalog for unified governance, including metastore configuration, catalog/schema design, and access control policies
  • Data Modelling: Strong expertise in designing and implementing data models, including dimensional modeling, data vault, and lakehouse architectures
  • Delta Lake: Deep understanding of Delta Lake features including ACID transactions, time travel, and optimization techniques
  • Apache Spark: Proficiency in Spark SQL, DataFrames, and performance tuning
  • Programming: Strong skills in Python, SQL, and/or Scala for data processing
  • Cloud Platforms: Experience with Azure, AWS, or GCP cloud services
Additional Technical Skills
  • Data pipeline development and ETL/ELT processes
  • Data governance frameworks and metadata management
  • Performance optimization and troubleshooting
  • CI/CD practices for data platforms
  • Data quality and validation frameworks
  • Understanding of data security and compliance requirements
Professional Experience
  • Minimum 8-10 years in data architecture, engineering, or analytics roles
  • At least 3-5 years of hands‑on experience with Databricks platform
  • Databricks Certified Associate Developer for Apache Spark (mandatory)
  • Proven track record implementing Unity Catalog in enterprise environments
  • Experience designing and implementing complex data models for large-scale systems
  • Background working with Databricks Professional Services or similar partnerships preferred
  • Experience across multiple industry sectors (Public Service, Financial Services, Healthcare, etc.) is advantageous
Certifications (Preferred) - mandatory to have at least one certification
  • Data Engineer Professional
  • Cloud platform certifications (Azure Data Engineer, AWS Data Analytics, or GCP Data Engineer)
  • Relevant data management or analytics certifications
Soft Skills
  • Excellent communication and presentation abilities
  • Strong analytical and problem-solving capabilities
  • Ability to work collaboratively with Partners and cross-functional teams
  • Client-focused mindset with relationship‑building skills
  • Self‑motivated with ability to manage multiple priorities
  • Experience working in agile environments
Priority for candidates in Singapore
End‑to‑End Data Architecture
  • Collaborate with Databricks PS and customer
  • on comprehensive end-to-end data architecture on Databricks platform
  • Design and implement data ingestion strategies from various source systems
  • Architect scalable storage solutions leveraging Delta Lake and lakehouse architecture
  • Develop efficient data processing frameworks using Apache Spark and Databricks workflows
  • Create data consumption layers for analytics, reporting, and machine learning use cases
  • Ensure seamless data flow across the entire data lifecycle
Governance, Security & Compliance
  • Collaborate with Databricks PS on implementing robust governance frameworks
  • Design and enforce security policies and access controls within Databricks environments
  • Ensure compliance with regulatory requirements and industry standards
  • Implement data lineage, audit trails, and monitoring capabilities
  • Optimize performance through best practices in cluster configuration and query optimization
  • Establish data quality standards and validation processes
Data Modelling & Design
  • Define business-aligned data models that support organizational objectives
  • Design Delta table structures optimized for performance and scalability
  • Create dimensional and normalized data models based on business requirements
  • Implement medallion architecture (Bronze, Silver, Gold layers) for data refinement
  • Develop data schemas that support both analytical and operational workloads
  • Document data models and maintain data dictionaries
Technical Leadership & Collaboration
  • Lead technical discussions with clients and stakeholders to understand business requirements
  • Provide technical guidance to development teams on Databricks best practices
  • Work closely with Infrastructure (Infra), Applications (Apps), and Cyber teams for integrated delivery
  • Mentor junior architects and engineers on Databricks technologies
  • Present solution architectures and technical recommendations to client leadership
Solution Implementation
  • Oversee implementation of Databricks solutions from design through deployment
  • Ensure solutions meet performance, scalability, and reliability requirements
  • Support proof-of-concepts and pilot implementations
  • Conduct architecture reviews and ensure alignment with enterprise standards
CONSULTANT DETAILS

Consultant Name: Abinaya R Reg No: R1765546

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

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