In-Demand Data solutions architect azure analytics Jobs

Senior Data Engineer
Virtusa Consulting & Services Pty Ltd —Sydney NSW
- $100,000 - $150,000 a year
- Full-time
- Azure
- SQL
- AWS
Quick Apply
Specialist Solutions Architect
Databricks —Sydney NSW
- Azure
- Computer Science
- SQL
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4d
Senior Data Technical Lead
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
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Interactive —Western Australia
- Full-time
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- SQL
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14d
Senior Solutions Engineer (Presales) - Enterprise Customers
Neo4j —Sydney NSW
- Remote
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AI/ML Architect
InfoCentric —Melbourne VIC
- Full-time
- Hybrid work
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- Machine learning
- AI
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7d
Digital Architect
Infosys Singapore & Australia —Melbourne VIC
- Full-time
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Principal Data Engineer - Contract
The Business Agility Group —Tullamarine VIC
- Urgently hiring
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- Master's degree
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Domain Solution Architect - Defence & National Security
DXC Technology —Canberra ACT
- Full-time
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13d
AI Delivery Lead - Sydney/Melbourne
Capgemini Sogeti —Sydney NSW
- Azure
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Senior Solutions Engineer - Perth
Snowflake —Perth WA
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Reserve Bank of Australia —Sydney NSW
- Full-time
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Data Engineering - Manager
National Heavy Vehicle Regulator —Brisbane QLD
- Full-time
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AI Technology Specialist
Viva Energy Australia —Melbourne VIC
- Full-time
- Azure
- Computer Science
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7d
Business Architect
Equifax —Sydney NSW
- Full-time
- Hybrid work
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16h
ETL Developer
Fujitsu —Melbourne VIC
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1d
Enterprise Architect
Datacom —Greater Adelaide SA
- Full-time
- Hybrid work
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17h
Team Lead (Software Engineering)
Domain Group —Pyrmont NSW
- Azure
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Data Engineer
Goodstart Early Learning —Murarrie QLD
- Full-time
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12d
Senior Data Engineer
Data Prowess —Sydney NSW
- $110,000 - $120,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
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7d

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Senior Data Engineer

Virtusa Consulting & Services Pty Ltd
Sydney NSW

Quick Apply

Job Details

Full-time
$100,000 - $150,000 a year

Qualifications

CI/CD
Data modelling
Azure
HDFS
DB2
Google Cloud Platform
Apache Hive
SQL
AWS
PostgreSQL
GitHub
Teradata
Redshift
AI
Jenkins

Full Job Description

Job Description:

Required a results-driven Senior Data Engineer with experience in designing, developing, and delivering enterprise-scale data engineering solutions across data warehousing, big data, and cloud platforms.

Key Responsibilities & Leadership -

Design and implement enterprise-scale data architectures, including Data Warehouses and Data Lakes.
Build and maintain scalable ETL/ELT pipelines for analytics, reporting, and operational workloads.
Lead end-to-end data migration and modernisation programs from legacy systems to Hadoop, Spark, Databricks, and AWS platforms using Agile methodology.
Define and execute migration strategies, including data analysis, mapping, transformation, integration, validation, reconciliation, and production deployment.
Design and optimise data models, SQL queries, and Spark workloads to improve performance, scalability, and cost efficiency.
Develop automation solutions to reduce manual effort and improve operational efficiency.
Ensure data quality, consistency, governance, and compliance across enterprise data platforms.
Perform data profiling, validation, and reconciliation to ensure accuracy and reliability of data assets.
Lead technical design reviews, architecture discussions, and code reviews to ensure adherence to best practices and standards.
Manage full project lifecycle delivery, including requirements gathering, design, development, testing, deployment, and production support.
Collaborate with architects, business analysts, product owners, and clients to translate business requirements into technical solutions.
Lead and mentor data engineering teams, including task allocation, skill development, and performance management.
Identify and resolve technical and delivery blockers to ensure timely project execution.
Manage stakeholder expectations and communicate technical solutions clearly to both technical and non-technical audiences.
Deliver both new development and production support projects in enterprise environments.
Continuously improve systems by identifying opportunities for performance, scalability, and cost optimisation.
Adapt quickly to new technologies, including AI-enabled data platforms, modern data engineering tools, and evolving coding methodologies.
Apply modern coding practices, including modular design, reusable components, version control standards, and CI/CD-aligned development approaches.
Maintain a strong continuous learning mindset and ability to work across evolving data and AI-driven ecosystems.
Strong domain expertise in banking domain.

Technical Skills -

Data Engineering & Platforms: Data Warehousing, Data Lakes, ETL/ELT, Data Pipelines, Data Modelling, Data Profiling, Data Migration, Data Modernisation, Data Quality, Data Governance
Databases: SQL, Teradata, Oracle, DB2, Vertica, PostgreSQL, Amazon Redshift
Big Data Technologies: Hadoop ecosystem (HDFS, Hive, Hive SQL), Apache Spark, Spark SQL, PySpark
Cloud & Modern Data Platforms: AWS/Azure/GCP, Databricks/Snowflake/DBT
Programming & Scripting: Python, UNIX Shell Scripting

CI/CD: GitHub/ Jenkins

Pay: $100,000.00 – $150,000.00 per year

Work Location: In person

Quick Apply

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