APPLYDJINN
Vacancy catalog
OLD

Long-running vacancy

This listing is older than 30 days but its source has not removed it. Verify availability on the original company page before applying.

SoftServe
Open role>1 month

Big Data Architect (AWS, West Palm Beach)

SoftServeUnited States
Work model
Hybrid
Experience
7+ years
Employment
Full Time
Compensation
84,000 – 108,000 USD
Technology signal
14 tags

Technology context

14

Parsed from the vacancy text; ordered by relevance to this role.

AWSJavaAzurePythonGCPCloud NativeCloudScalabilitySparkSnowflakeDatabricksScalaSQLAirflow

Published salary bands

Each level keeps its own disclosed range. Amounts are not merged across levels or locations.

  • base

    84,000–108,000 USD / year

Full listing

Role description

ABOUT THE ROLE

In this role, you will design and implement scalable Data & Analytics solutions with the Databricks platform and related AWS and GCP technologies. Working closely with technical and business stakeholders, you will help shape modern data architectures, estimate projects, guide engineering teams, and deliver reliable cloud-based data platforms throughout the full project lifecycle, from discovery and solution design to production implementation.

This is a US-based onsite (West Palm) role with an anticipated base salary range of $84,000.00 - $108,000.00 annually, plus variable compensation.

RESPONSIBILITIES

  • Design scalable Data & Analytics architectures using Databricks and modern cloud-native data platform technologies
  • Collaborate directly with technical and business stakeholders to gather requirements, facilitate architecture discussions, and translate business needs into technical solutions and implementation roadmaps
  • Define data platform architecture, data models, ingestion strategies, and source-to-target mappings for batch and streaming workloads
  • Support engineering teams by providing technical guidance, reviewing solution designs, and promoting data engineering best practices
  • Contribute to architecture decisions, technology selection, estimation activities, and delivery planning across complex Data & Analytics initiatives
  • Create and maintain architecture documentation, technical designs, and implementation guidelines
  • Evaluate emerging technologies, build prototypes, and contribute to continuous improvement and knowledge sharing within the engineering community

REQUIREMENTS

  • Proven experience as a Data Architect designing and delivering enterprise-scale Data & Analytics platforms
  • Strong expertise with the Databricks platform
  • Hands-on experience designing scalable batch and streaming data architectures, data pipelines, and cloud-based data platforms
  • Strong knowledge of Apache Spark (PySpark/Spark SQL) and modern data processing frameworks
  • Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
  • Proficiency in Python (preferred), Scala, or Java, combined with advanced SQL skills
  • Experience with orchestration technologies such as Databricks Workflows, Apache Airflow, or equivalent workflow orchestration tools
  • Familiarity with modern data warehousing and analytics platforms such as Snowflake, BigQuery, Amazon Redshift, or similar technologies
  • Strong communication and stakeholder management skills with the ability to translate business requirements into scalable technical architectures