AWS Big Data Architect Job at Robert Half (Philadelphia)

Solution Architect - Big Data

The Solution Architect Big Data is a strategic professional who stays abreast of...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12+ years' experience in Big Data and/or Public Cloud
8 years' experience working on Big Data technologies: Hadoop, HDFS, Hive, Spark, Impala, etc.
Technical Expertise in financial services industry and/or regulatory environments
Excellent knowledge and experience on solutioning Cloud native solutions
Experience with migrating on-prem applications to Cloud Architectures or developing cloud native applications for any of the following: AWS, Azure, GCP, OpenShift
Ability to work across technology stacks and perform R&D on new technologies
Proficiency in one or more programming languages like Java, Python etc.
Consistently demonstrates clear and concise written and verbal communication
Management and prioritization skills
Ability to develop working relationships

Job Responsibility

Executes the architectural vision for all IT systems through major, complex IT architecture projects
ensures that architecture conforms to enterprise blueprints
Develops technology road maps, while keeping up-to-date with emerging technologies, and recommends business directions based on these technologies
Provides technical leadership and is responsible for developing components of, or the overall systems design
Translates complex business problems into sound technical solutions
Applies hardware engineering and software design theories and principles in researching, designing, and developing product hardware and software interfaces
Provides integrated systems planning and recommends innovative technologies that will enhance the current system
Recommends appropriate desktop, computer platform, and communication links required to support IT goals and strategy
Exhibits good knowledge of how own specialism contributes to the business and good understanding of competitors products and services
Acts as an advisor or mentor to junior team members

What we offer

Global Benefits
We bring the best to our people
We put our employees first and provide the best-in-class benefits they need to be well, live well and save well

Fulltime

Data Engineer (AWS)

Fyld is a Portuguese consulting company specializing in IT services. We bring hi...

Location

Portugal , Lisboa

Salary:

Not provided

Fyld

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related
Relevant certifications in AWS, such as AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified Data Analytics
Hands-on experience with AWS services, especially those related to Big Data and data analytics, such as Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Kinesis, Amazon Glue, among others
Familiarity with data storage and processing services on AWS, including Amazon S3, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Proficiency in programming languages such as Python, Scala, or Java for developing data pipelines and automation scripts
Knowledge of distributed data processing frameworks, such as Apache Spark or Apache Flink
Experience in data modeling, cleansing, transformation, and preparation for analysis
Ability to work with different types of data, including structured, unstructured, and semi-structured data
Familiarity with data architecture concepts such as data lakes, data warehouses, and data pipelines (not mandatory)
Knowledge of security and compliance practices on AWS, including access control, data encryption, and regulatory compliance

Fulltime

Data Architect

Delivery Centric is seeking a highly skilled Data Architect to design cloud-read...

Location

Australia , Sydney

Salary:

Not provided

Delivery Centric Technologies

Expiration Date

Until further notice

Requirements

Proven experience in data architecture, data modelling, and enterprise data platform design
Strong expertise in SQL, NoSQL, data warehousing, and major cloud platforms (Azure, AWS, GCP)
Hands-on experience with ETL/ELT tooling and big data technologies (Spark, Hadoop)
Experience building data pipelines and event-driven workflows
Certifications ideal for this role: Azure Data Engineer, AWS Developer, Databricks Data Engineer
Exposure to AI/ML environments and advanced analytical use cases
Strong analytical and problem-solving capabilities with excellent stakeholder engagement skills

Job Responsibility

Design scalable, secure, and high-performing data architectures aligned to business objectives
Develop conceptual, logical, and physical data models for enterprise data platforms
Drive data governance practices, ensuring compliance, quality, and security across all data assets
Lead integration initiatives and build reliable data pipelines across cloud and on-prem ecosystems
Optimize existing data platforms, improving performance, scalability, and operational efficiency
Collaborate with business stakeholders to translate requirements into technical solutions
Maintain architecture documentation, standards, data dictionaries, and solution diagrams
Support big data, analytics, and AI/ML initiatives through scalable data foundations

Fulltime

Data Architect - Enterprise Data & AI Solutions

We are looking for a visionary Data Architect who can translate enterprise data ...

Location

India , Chennai; Madurai; Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong background in RDBMS design, data modeling, and schema optimization
Advanced SQL skills, including performance tuning and analytics functions
Proven expertise in data warehouses, data lakes, and lakehouse architectures
Proficiency in ETL/ELT tools (Informatica, Talend, dbt, Glue)
Hands-on with cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake)
Familiarity with GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI)
Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark)
Strong communication skills with the ability to present data insights to executives
8+ years in data architecture, enterprise data strategy, or modernization programs
Hands-on with AI-driven analytics and GenAI adoption

Job Responsibility

Design scalable data models, warehouses, lakes, and lakehouse solutions
Build data pipelines to support advanced analytics, reporting, and predictive insights
Integrate GenAI frameworks to enhance data generation, automation, and summarization
Define and enforce enterprise-wide data governance, standards, and security practices
Drive data modernization initiatives, including cloud migrations
Collaborate with stakeholders, engineers, and AI/ML teams to align solutions with business goals
Enable real-time and batch insights through dashboards, AI-driven recommendations, and predictive reporting
Mentor teams on best practices in data and AI adoption

What we offer

Opportunity to design next-generation enterprise data & AI architectures
Exposure to cutting-edge GenAI platforms to accelerate innovation
Collaborate with experts across cloud, data engineering, and AI practices
Access to learning, certifications, and leadership mentoring
Competitive pay with opportunities for career growth and leadership visibility

Fulltime

Data & AI Architect

We are seeking a highly skilled and experienced Data & AI Architect to join our ...

Location

United States

Salary:

130000.00 - 170000.00 USD / Year

MojoTech

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in data engineering, with a strong focus on cloud-native solutions
Expert-level proficiency with AWS data services and best practices. AWS and Databricks certifications are a significant plus
Exceptional Python programming skills for data engineering and automation
Experience with Databricks or Apache Spark for big data processing
Experience with at least one major cloud ML platform, eg AWS Sagemaker
Advanced SQL capabilities for data manipulation, querying, and optimization
Proven experience with workflow orchestration tools (e.g., Airflow, AWS Step Functions)
Solid understanding of data modeling principles and pipeline design patterns
Familiarity with modern DevOps practices and CI/CD for data solutions
Excellent problem-solving skills and the ability to translate complex technical concepts into clear explanations for non-technical audiences

Job Responsibility

Design, develop, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, Kinesis, Redshift, Step Functions, etc.) and Python
Design, develop, and implement end-to-end models and AI agents, from data preprocessing to deployment and monitoring
Implement and optimize large-scale data processing solutions using modern data platforms, for example Databricks, Snowflake, AWS for various client use cases
Collaborate closely with product managers, engineers, and business stakeholders to understand data consumption requirements and deliver high-quality data products
Ensure data quality, reliability, and security throughout the data lifecycle
Apply Generative AI concepts to data platforms for integration with LLMs, RAG architectures, and their practical application in enterprise solutions
Implement CI/CD pipelines and integrate data solutions into broader DevOps practices
Provide technical leadership and mentorship within project teams

What we offer

Medical, Dental, FSA
401k with 4% match
Trust-based time off
Catered lunches when in office
5 hours a week of self-directed, non-client work
Dog Friendly Offices
Paid conference attendance/yearly education stipend
6 weeks parental leave

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Cloud Technical Architect / Data DevOps Engineer

The role involves designing, implementing, and optimizing scalable Big Data and ...

Location

United Kingdom , Bristol

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

An organised and methodical approach
Excellent time keeping and task prioritisation skills
An ability to provide clear and concise updates
An ability to convey technical concepts to all levels of audience
Data engineering skills – ETL/ELT
Technical implementation skills – application of industry best practices & designs patterns
Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements
Experience of working in hybrid environments with both classical and DevOps
Excellent written & spoken English skills
Excellent knowledge of Linux operating system administration and implementation

Job Responsibility

Detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
Assisting with solution improvement activities driven either by the project or service
Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation
Cloud Engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code
Provide technical challenge and assurance throughout development and delivery of work
Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership
Work independently and/or within a team using a DevOps way of working

What we offer

Extensive social benefits
Flexible working hours
Competitive salary
Shared values
Equal opportunities
Work-life balance
Evolving career opportunities
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Staff Data Engineer

Checkr is hiring an experienced Staff Data Engineer to join their Data Platform ...

Location

United States , San Francisco; Denver

Salary:

166000.00 - 230000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

10+ years of designing, implementing and delivering highly scalable and performant data platform
experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
experience with ETL/ELT, stream and batch processing of data at scale
expert level proficiency in PySpark, Python, and SQL
expertise in data modeling, relational databases, NoSQL (such as MongoDB) data stores
experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
an understanding of Graph and Vector data stores (preferred)
knowledge of security best practices and data privacy concerns
strong problem-solving skills and attention to detail
experience/knowledge of data processing platforms such as Databricks or Snowflake.

Job Responsibility

Architect, design, lead and build end-to-end performant, reliable, scalable data platform
monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
mentor, guide and work with junior engineers to deliver complex and next-generation features
partner with engineering, product, design, and other stakeholders in designing and architecting new features
create and maintain data pipelines and foundational datasets to support product/business needs
experiment with rapid MVPs and encourage validation of customer needs
design and build database architectures with massive and complex data
develop audits for data quality at scale
create scalable dashboards and reports to support business objectives and enable data-driven decision-making
troubleshoot and resolve complex issues in production environments.

What we offer

A fast-paced and collaborative environment
learning and development allowance
competitive cash and equity compensation and opportunity for advancement
100% medical, dental, and vision coverage
up to $25K reimbursement for fertility, adoption, and parental planning services
flexible PTO policy
monthly wellness stipend
home office stipend
in-office perks such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.

Fulltime

AWS Big Data Architect

Robert Half

Location:
United States , Philadelphia

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 01, 2026

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Job Description:

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