Data Architect / Engineer Job at NETWORK SOLUTIONS FACTORY

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Lead Software & Data Architect Engineer

Join the BAE Systems Mission Integration Solutions (MIS) team in our new role as...

Location

United States , Fort Worth

Salary:

136000.00 - 231200.00 USD / Year

Baesystems

Expiration Date

Until further notice

Requirements

Proven track record in software and data architecture of both small and large/complex systems
Demonstrable experience of taking IT solutions from proof-of-concept through to production
Demonstrable experience writing and developing software individually and/or as part of a team
Grounding in one or more relevant technical areas: Programming languages and tools (e.g. Python, .NET, Go, C/C++, Rust)
Software development techniques (e.g. DevSecOps, Agile)
Data science languages and tools (e.g. Matlab, R)
Data science techniques and infrastructure
Artificial intelligence and machine learning
Bachelor’s degree in Computer Science, Data Science, Engineering or similar fields
Understanding of engineering life cycle management processes

Job Responsibility

Setting the technical direction and ensuring we have the right people, processes and tools to win and deliver these programs
Working hands-on to bring your creative solutions to life as proof-of-concepts, win proposals and transition them into operational capabilities
Interacting and collaborating outside our local business domain
Interacting effectively with stakeholders at all levels of the business, capable of translating complex, technical information into an easily understood narrative
Being an ambassador for our software and data science activities and foster new relationships inside and outside BAE Systems including customers, partners and academia
Developing your staff and those of the broader team by mentoring, coaching and training them in use of the latest techniques
Supporting the broader BAE Systems enterprise as an expert internal reviewer for programs in other business areas
Representing the company at national/international trade events and symposia

What we offer

Health, dental, and vision insurance
Health savings accounts
A 401(k) savings plan
Disability coverage
Life and accident insurance
Employee assistance program
Legal plan
Discounts on things like home, auto, and pet insurance
Paid time off
Paid holidays

Fulltime

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)

Job Responsibility

Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams

Fulltime

Mechanical Engineer-Data Center Cooling Solutions Architect

AWC is seeking a Mechanical Engineer – Data Center Cooling Solutions Architect t...

Location

United States , Austin

Salary:

Not provided

AWC

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Mechanical Engineering
5-7 years of experience in mechanical systems, thermal systems, process cooling, HVAC, packaged equipment, fluid handling, or related industrial applications
Ability to understand and discuss pumps, valves, heat exchangers, chilled water systems, liquid cooling systems, or similar mechanical/process systems
Strong communication skills and ability to work across engineering, sales, and project teams
Ability to translate technical concepts into practical, customer-facing solutions
Strong analytical and organizational skills
Willingness to learn and use AI-enabled tools for research, design support, and knowledge capture

Job Responsibility

Research target accounts, market segments, and common data center cooling applications using internal knowledge, supplier input, and AI-enabled research tools
Develop account-specific and segment-specific Basis of Design concepts for cooling-related systems such as liquid cooling, cooling skids, pump packages, chiller interfaces, heat rejection systems, and related mechanical infrastructure
Define typical system scope, operating concepts, instrumentation needs, valve applications, and controls interfaces
Partner with automation applications engineers to translate mechanical systems into: controls narratives
I/O concepts
PLC/HMI architecture assumptions
packaged automation opportunities
Help create modular example designs with typical scope, lead times, and budgetary cost assumptions to support customer-facing discussions
Support the creation of proof-of-concept packages used to secure workshops with engineering and project management decision makers
Participate in customer discovery sessions and workshops to understand goals, pain points, standards, and project constraints

What we offer

Employee Stock Ownership Plan (ESOP)
401(K) Match
Competitive Pay
Medical, Dental and Vision Insurance Package
Employer Paid Life Insurance
Paid Time Off and Holiday Pay
Career Development Opportunities

Fulltime

Senior Staff Data Engineer- Data Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of hands-on experience in Software Development or Data Engineering
at least 5+ years specifically focused on building Data Platforms
deep understanding of how Platform infra supports Analytics workloads
proven experience evolving complex platforms from legacy patterns to modern, cloud-native solutions
deep knowledge of Spark internals, JVM tuning, and performance optimization for high-scale batch and streaming datasets
deep expertise in Unity Catalog, Delta Lake internals, and optimizing high-volume workloads
strict software engineering discipline (CI/CD, Testing, OOP) applied to data pipelines
understanding of microservices architecture
understanding the needs of Analytics/DWH teams (Data Modeling, dbt)
strong background in building automated pipelines using Terraform/Terragrunt and ensuring system observability

Job Responsibility

Lead the evolution of our Data Platform and architect the "Data Exchange" strategy
define robust patterns for API-based ingestion, Event-Driven Architectures (Kafka), and Reverse ETL
ensure architectures are optimized for cost and performance on AWS
act as a catalyst for technical evolution
constantly scan the horizon for next-generation technologies
lead the implementation of new paradigms
design the strategy for Unity Catalog implementation and Data Contracts
champion FinOps, automating cost controls for our highest-volume workloads
build the underlying infrastructure that allows Analytics/DWH teams to run efficient transformations
elevate the technical bar of the team, mentoring Staff and Senior engineers

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
a collaborative environment with an opportunity to explore your potential and grow
a range of locally relevant benefits

Fulltime

New

Data Engineer (Business Data)

As a Data Engineer on the R&D Team, you will help FreshBooks build and evolve hi...

Location

Canada , Toronto

Salary:

102400.00 - 128000.00 CAD / Year

FreshBooks

Expiration Date

Until further notice

Requirements

2+ years of experience working in data engineering, analytics engineering, or a related field
Experience building and maintaining data models and transformation pipelines (e.g., dbt or similar tools)
Strong SQL skills and proficiency in Python (or similar language)
Solid understanding of data modeling concepts (e.g., dimensional modeling, normalization, data warehousing patterns)
Experience working with a cloud data warehouse (e.g., BigQuery, Snowflake, Redshift)
Familiarity with orchestrators such as Airflow, GCC, Dagster, Prefect (or similar tools)
Basic understanding or exposure to streaming/event-driven systems (e.g., Pub/Sub, Kafka, Kinesis, Dataflow)
Understanding of data quality, testing, and validation practices
Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders

Job Responsibility

Architect, design, and develop clean, high-performance datasets using modern tools like dbt and BigQuery, focusing on usability and scalability for analytical consumption
Be a key contributor to our domain-oriented data architecture, defining how core business entities (e.g., customers, payments) are modeled, governed, and exposed across the organization
Build and maintain robust batch and streaming data pipelines that transform raw data into trusted, analytics-ready assets to support both near real-time and traditional use cases
Collaborate closely with Analytics, Product, and Machine Learning teams to translate complex requirements into reusable, well-governed data models and contracts
Champion data quality, reliability, and documentation by implementing rigorous testing, validation, and monitoring practices
Leverage cutting-edge tools, including AI/agentic workflows, to accelerate development, enhance productivity, and improve data exploration and lineage
Participate in code reviews, contribute to improving engineering standards, and partner with platform teams to ensure our data solutions meet ambitious performance, cost, and scalability goals

What we offer

Comprehensive health and wellness benefits
Generous time off including a flexible vacation plan
Retirement savings program or pension plan matched to your local office
Stock options for every full-time employee
Parental leave and new parent support
Annual healthy living credit
Comprehensive medical and dental benefits
Fertility and gender-affirming benefits
Peer Recognition Program
Employee Assistance Program

Fulltime

SAP Datasphere Architect / Data Migration Architect

We are currently seeking a SAP Datasphere Architect / Data Migration Architect t...

Location

United States , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

15+ years of SAP experience
10+ years of strong Data Migration experience
7+ years of Data structure and methodology experience
5+ years of ETL, Data warehousing, Data Goverance and data quality experience
Minimum 15 years of overall SAP experience, with at least 5 years of hands-on experience in a leadership role on large-scale SAP data migration projects
Minimum 10+ years of expertise in SAP S/4HANA and ECC data structures and migration methodologies for both brownfield and greenfield implementations
Minimum 7-8+ years of deep, hands-on experience with SAP data migration tools, including Migration Cockpit, SAP Data Services (BODS), and LSMW
Strong proficiency in ETL processes, data warehousing, and advanced SQL querying
Minimum 7-8+ years of familiarity with data governance and data quality tools like Syniti is a plus
Minimum 10+ years of in-depth understanding of SAP modules and their underlying data structures (e.g., Finance (FI/CO), Sales and Distribution (SD), Materials Management (MM), Production Planning (PP))

Job Responsibility

Serve as the single point of accountability for all data migration-related decisions, strategy, and execution
Lead and define the overall data migration blueprint and strategy, ensuring it aligns with project timelines and business objectives
Develop and maintain comprehensive data migration plans, including detailed cutover runbooks, schedules, and rollback procedures
Lead the end-to-end data migration lifecycle: extraction, cleansing, transformation, validation, loading, and reconciliation
Oversee data mapping from legacy systems to the new SAP S/4HANA and ECC environment for both master and transactional data
Manage and provide guidance to a team of data migration specialists, functional consultants, and technical resources
Establish and enforce robust data governance policies and standards throughout the migration process
Drive data cleansing, profiling, and quality assurance activities to ensure data integrity and accuracy
Design and implement automated data validation tools and scripts to accelerate reconciliation
Work closely with business data owners, functional leads, and technical teams to gather requirements and resolve data discrepancies

Fulltime

Aws Data Engineer (Cloud Data Platform & Pipeline Specialist)

Design, develop, and maintain scalable cloud-based data pipelines using AWS serv...

Location

United States , Atlanta

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, with strong hands-on expertise in AWS data services (Glue, EMR, S3, RDS, DataSync, DMS)
5+ years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
5+ years of Strong experience in data migration, transformation frameworks, and large-scale data replication
5+ years of Deep understanding of data modeling, data transformation, and reconciliation techniques
5+ years of Experience designing and implementing secure data access and governance (least privilege principles)
5+ years of Hands-on experience with data validation, auditing, and reconciliation processes
Familiarity with regulatory or finance data environments and reporting workloads
5+ years of Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
AWS data services
data pipelines

Job Responsibility

Design, develop, and maintain scalable cloud-based data pipelines using AWS services such as Glue, EMR, S3, RDS, DataSync, and DMS
Build and optimize batch and streaming data orchestration workflows to support enterprise data platforms
Lead large-scale data migration efforts, including legacy-to-cloud transformations and replication strategies
Perform data modeling, transformation, and reconciliation to ensure high-quality, consistent datasets across systems
Implement secure data access patterns following least-privilege principles for pipelines and datasets
Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions
Establish robust data validation, reconciliation, and audit mechanisms to meet regulatory and reporting requirements
Troubleshoot and optimize performance of ETL/ELT pipelines and data workflows in AWS environments
Support governance, compliance, and audit readiness for data platforms in regulated environments (finance/reporting)

Fulltime

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Data Architect / Engineer

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