Snowflake Data & Analytics Engineering Manager Job at SDG (Cairo)

Manager, Data Engineering

Apex Fintech Solutions is seeking a Manager, Data Engineering to lead our Data L...

Location

United States of America , Austin

Salary:

Not provided

Apex Clearing

Expiration Date

Until further notice

Requirements

Deep technical proficiency in cloud-based systems (GCP preferred), including BigQuery, Snowflake, Cloud Storage, and experience building scalable data lake architectures and microservices
Strong understanding of fault-tolerant system design, high-availability services, and real-time data ingestion patterns to support high-throughput processing requirements
Solid grasp of DevOps principles with hands-on experience in CI/CD pipelines, deployment automation, and infrastructure as code for data platform operations
Understanding of security best practices for data systems, API design, and infrastructure within regulated environments, with knowledge of compliance requirements in financial services highly desired
Exceptional problem-solving and analytical skills with ability to navigate technical complexities, manage multiple initiatives simultaneously, and maintain attention to detail
Excellent verbal and written communication skills with ability to translate technical concepts for diverse audiences and build strong collaborative relationships across global teams
Bachelor's degree in computer science, Data Engineering, or related field
Master's degree in business administration or computer science is a plus
6+ years of hands-on data engineering experience with 2+ years as a people manager, preferably in Financial Services (FinTech) or high-growth technology environments
Proven expertise in Agile Development methodologies (Scrum, Kanban) and project management tools (Jira, Confluence) with track record of delivering complex technical projects on time

Job Responsibility

Lead and manage the Data Lake engineering team, driving technical initiatives from conception to production while ensuring alignment with business objectives, platform scalability requirements, and delivery timelines
Partner with cross-functional stakeholders including product managers, data scientists, and business leaders to define scope, objectives, and technical deliverables throughout the data platform lifecycle
Build and mentor a high-performing team of data engineers, fostering a teaching and learning culture where continuous improvement, technical excellence, and ownership are core values
Facilitate Agile ceremonies including sprint planning, retrospectives, and PI Planning, promoting iterative development and team collaboration while maintaining focus on delivering measurable outcomes
Own the technical strategy and architecture for our data lake infrastructure, making hands-on contributions to design scalable solutions for data ingestion, storage, and real-time processing that support our business growth
Identify and proactively mitigate technical and operational risks, addressing issues before they impact delivery while maintaining transparency with stakeholders through clear communication and regular reporting
Coordinate resource allocation and work prioritization across multiple initiatives, balancing team capacity with competing demands to ensure optimal delivery of platform capabilities
Establish and enforce data engineering best practices, governance standards, and security protocols, ensuring we do things the right way without cutting corners on quality or compliance

What we offer

Healthcare benefits (medical, dental and vision, EAP)
competitive PTO
401k match
parental leave
HSA contribution match
paid subscription to the Calm app
generous external learning and tuition reimbursement benefits

Fulltime

Manager, Data & Analytics Services

Labcorp is seeking a Data & AI Engineering Manager to join our team at Bangalore...

Location

India , Bengaluru

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, Engineering, Data Science
8–12 years of experience in data engineering, analytics engineering, or data platform development
4+ years of Proven leadership experience managing data engineering teams
4+ years of strong expertise in ETL/ELT pipelines, SQL, data modeling, and modern data platforms (e.g., Databricks, Snowflake)
3+ years of Experience enabling BI and reporting solutions (e.g., Tableau, Power BI)
3+ years of Exposure to AI/ML or GenAI projects, with understanding of model deployment and lifecycle management
3+ years of experience working with cloud platforms (AWS, Azure, or GCP)

Job Responsibility

Lead and mentor a team of data engineers and AI engineers
Design and manage scalable data pipelines, data models, and enterprise data platforms
Develop analytics-ready datasets to support business reporting and dashboards using BI tools
Ensure data quality, governance, reliability, and performance across the data ecosystem
Manage delivery of AI and machine learning initiatives, working closely with data scientists and business teams
Oversee the lifecycle of AI/GenAI use cases, from concept to deployment and value realization
Collaborate with stakeholders to translate business needs into data and AI solutions
Contribute to the data and AI technology roadmap and architecture strategy

Fulltime

Senior Manager, Data Engineering

Stanford Health Care is seeking a dynamic and experienced Senior Manager of Data...

Location

United States , Palo Alto

Salary:

83.98 - 111.27 USD / Hour

Stanford Health Care

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. A Master’s degree is preferred
8+ years of hands-on experience in data engineering, data warehousing, or a related field
3+ years of experience in a leadership or management role, directly managing multiple technical teams
Experience in a healthcare or academic medical center environment is highly desirable
Proven ability to lead, mentor, and grow multiple high-performing engineering teams
Expert knowledge of data engineering principles, including ETL/ELT, data modeling, and data architecture
Strong strategic planning skills with experience in developing roadmaps for both data engineering and enterprise analytics
Deep understanding of cloud data platforms (GCP, AWS, Azure) and modern data warehouse technologies (Databricks, Snowflake, BigQuery, Redshift)
Proficiency with big data technologies (e.g., Spark, Kafka) and workflow orchestration tools (e.g., Airflow)
Expert-level SQL skills and proficiency in a programming language such as Python or Scala

Job Responsibility

Lead, mentor, and manage multiple teams of data engineers, providing technical guidance, career development, and performance management
Foster a culture of collaboration, innovation, and operational excellence
Manage resource allocation, project prioritization, and team workloads to ensure timely delivery of key initiatives
Recruit, coach, and motivate team members, developing leadership competencies within the team
Oversee the design, development, and maintenance of scalable and robust data pipelines (ETL/ELT) to support analytics and data science
Define and drive the technical roadmap for our cloud-based data platforms (e.g., GCP, AWS, Azure) and data warehousing solutions (e.g., Databricks)
Define and implement the strategy for enterprise analytics and operational reporting, in collaboration with key business and clinical stakeholders
Partner with enterprise architecture, applications, and data science teams to ensure sustainable and scalable data management and solution delivery
Partner with key stakeholders across Stanford Medicine (Stanford Health Care, Stanford School of Medicine, and Stanford Medicine Partners), including data scientists, analysts, clinical leaders, and researchers, to translate data needs into technical requirements
Manage the full lifecycle of data engineering projects, from conception and planning to execution and delivery

Fulltime

Senior Manager, Data & Analytics, APEC

The Senior Manager, Data Strategy, APEC is accountable for shaping and driving t...

Location

Singapore

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Bachelor’s degree from an accredited university in Business Administration, Computer Science/Information Systems, or a quantitative discipline (finance, operations research, economics, mathematics, statistics, etc.)
Minimum 7 - 8 years of relevant professional experience demonstrating clear technical competency, progressive career growth and a pattern of exceptional performance
Preferred: Working industrial experience in Travel & Hospitality, F&B or Retail with demonstrated technical capabilities
Demonstrate fluency and strength of expertise in: Programming languages (Python, etc.)
Business intelligence tools (Tableau, Power BI)
Data warehousing (Snowflake, Bigquery, SQL Server, etc.)
Cloud computing (AWS, Azure, GCP)
Familiarity with UI/UX principles for dashboard and reporting design and an understanding of AI Operations (AIOps)
Demonstrates a strong analytical ability, with knowledge of financial analysis, quantitative analysis, statistical tools, economic concepts and predictive modeling
Strong relationship and project management skills with the ability to independently manage multiple projects (data specifications, deadlines, and project requirements)

Job Responsibility

Shaping and driving the organisation’s data strategy to support strategic decision-making, operational performance, and long-term growth
Translating commercial objectives into a clear and actionable data vision
Defining how data is used as a strategic asset
Ensuring data investments are aligned with business priorities and deliver measurable value across commercial, operational, and customer-facing functions
Partnering closely with business leaders, analytics teams, and technology stakeholders to design pragmatic data roadmaps, operating models, and governance frameworks
Providing thought and executional leadership on data platforms, metrics, and analytics capabilities
Balancing long-term strategic direction with near-term delivery
Meeting with business leaders and analytics teams to gather requirements and prioritize data initiatives
Designing data roadmaps to align with strategic goals
Developing or optimizing data workflows

Fulltime

Senior Manager, Data & Analytics, APEC

The Senior Manager, Data Strategy, APEC is accountable for shaping and driving t...

Location

Singapore , Singapore

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Bachelor’s degree from an accredited university in Business Administration, Computer Science/Information Systems, or a quantitative discipline (finance, operations research, economics, mathematics, statistics, etc.)
Minimum 7 - 8 years of relevant professional experience demonstrating clear technical competency, progressive career growth and a pattern of exceptional performance
Preferred: Working industrial experience in Travel & Hospitality, F&B or Retail with demonstrated technical capabilities
Programming languages (Python, etc.)
Business intelligence tools (Tableau, Power BI)
Data warehousing (Snowflake, Bigquery, SQL Server, etc.)
Cloud computing (AWS, Azure, GCP)
Familiarity with UI/UX principles for dashboard and reporting design and an understanding of AI Operations (AIOps)
Demonstrates a strong analytical ability, with knowledge of financial analysis, quantitative analysis, statistical tools, economic concepts and predictive modeling
Strong relationship and project management skills with the ability to independently manage multiple projects (data specifications, deadlines, and project requirements)

Job Responsibility

Oversee the design, development, and maintenance of scalable data pipelines and ETL processes
Ensure data quality, integrity, and security across multiple sources and platforms
Collaborate with IT and data teams to optimize data architecture for analytics and reporting needs
Implement and enforce data governance policies and standards
Drive continuous improvement in analytics operations through process optimization and adoption of best practices
Stay updated on emerging technologies and trends in data engineering and analytics
Manage analytics projects end-to-end, including requirements gathering, planning, execution, and delivery
Act as the primary liaison between internal stakeholders and external consultants/vendors to ensure alignment on scope, timelines, and deliverables
Monitor project progress, mitigate risks, and resolve issues to ensure successful outcomes
Coordinate with third-party vendors for specialized analytics solutions, tools, and services

Fulltime

Business Analytics & Data Manager

Are you passionate about transforming data into actionable insights that solve b...

Location

Luxembourg , Luxembourg

Salary:

Not provided

Quintet Private Bank

Expiration Date

Until further notice

Requirements

Further professional Education (Masters / Professional qualification)
More than 5 years experience in a similar role
Strong understanding of data modeling, metadata management, and data integration.
Hands-on experience with data platforms such as Snowflake, AWS, Microsoft Azure, Databricks, or Dataiku
Strong knowledge of with data technologies like SQL, ETL tools, Apache Spark, and modern API frameworks.
Experience integrating analytics tools into business workflows and supporting AI/ML initiatives
Proven track record of supporting data-driven transformations in complex environments
Fluent in English

Job Responsibility

Contribute to the development of a data & Analytics strategy that aligns with business goals, emphasizing the creation of value through data-driven insights
Develop a deep understanding of the business, its processes, and its data needs to ensure analytics solutions align with organizational goals.
Collaborate closely with business stakeholders to translate their requirements into actionable insights, balancing BAU demands with strategic initiatives.
Communicate insights and recommendations in a clear and actionable manner, bridging the gap between technical teams and business users
Collaborate with business units to identify data needs and deliver actionable insights.
Implement analytics solutions to improve business performance and operational efficiency
Ensure business teams have access to accurate, high-quality data for decision-making.
Monitor and improve data integrity across systems and processes
Collaborate with IT and data engineering teams to develop scalable, secure, and interoperable data platforms and pipelines, while implementing best practices for data modeling, metadata management, and integration to ensure consistency and usability across structured, unstructured, and real-time data sources.
Collaborate on cloud-native solutions, leveraging platforms like Snowflake, Databricks, Dataiku, or Microsoft Fabric to ensure future-ready data capabilities.

Data Engineering Manager

Location

United States , San Antonio

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience
7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles
3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams
Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations
Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products
Expert-level SQL skills, including complex analytical queries and performance optimization
Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Senior Product Manager, Data & Analytics

As Senior Product Manager for Data & Analytics, you will be responsible for a po...

Location

United States , Peachtree Corners, GA

Salary:

Not provided

ResMed

Expiration Date

Until further notice

Requirements

Bachelor’s in Computer Science, Data/Analytics, AI, or related field
7+ years in product management delivering data platforms/analytics at enterprise scale
history of shipping measurable outcomes in B2B SaaS
Working literacy with Snowflake (or equivalent), SQL, Python, and modern BI
comfortable reading code, writing non-production SQL, and pairing with engineers on designs
Demonstrated success building governed, self-service analytics (semantic layers, KPI definitions, lineage) that drive adoption and trust
Successful experience productizing applied-AI features with human oversight and clear evaluation standards
Executive level communication
proven stakeholder management across Commercial, Operations, Engineering, and Compliance

Job Responsibility

Define clear product goals and success metrics (e.g., adoption, decision latency, governed KPI coverage). Maintain a transparent, KPI-driven roadmap that ladders into business objectives
Run discovery to frame problems
author PRDs, user stories, and acceptance criteria
manage backlog, release planning, feature flags, and post-launch measurement. Drive iterative delivery with tight feedback loops
Work with engineering to shape scalable pipelines and stores (lake/warehouse/marts), semantic models, SLAs, and cost governance. Treat data definitions as product contracts with change-management playbooks
Productize self-service and embedded analytics (dashboards, decision flows, alerts). Raise UX quality and performance standards
deprecate low-value assets
Introduce human-in-the-loop AI where it demonstrably reduces toil or improves decisions and set guardrails for quality, bias, and auditability
Drive practical governance, accuracy, consistency, privacy, and access
embedded in workflows and expand standardized KPI/event models

Fulltime

Select Country

Snowflake Data & Analytics Engineering Manager

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?