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Director – Data Engineering
Weekday (YC W21)Director leading and scaling data engineering function for a Weekday's client. Building efficient data platforms powering analytics and business intelligence across the organization.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformHadoopJavaKafkaPythonScalaSparkSQL
About the role
Key responsibilities & impact- This role is for one of the Weekday's clients
- We are seeking an experienced and visionary Director – Data Engineering to lead and scale our data engineering function.
- You will play a critical role in building robust, scalable, and efficient data platforms that power analytics, machine learning, and business intelligence across the organization.
Requirements
What you’ll need- Min Experience: 12 years
- Lead the design, development, and optimization of scalable data pipelines, data lakes, and data warehouses.
- Define and implement the overall data engineering strategy aligned with business goals and future growth.
- Architect modern data platforms leveraging cloud technologies such as AWS, Azure, or GCP.
- Drive best practices in data modeling, ETL/ELT processes, data governance, and data quality management.
- Collaborate closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making.
- Build and mentor a high-performing team of data engineers, fostering a culture of innovation, ownership, and continuous improvement.
- Oversee large-scale data integration efforts involving structured and unstructured data sources.
- Ensure data security, compliance, and privacy standards are adhered to across all systems.
- Evaluate and implement new tools, frameworks, and technologies to enhance data capabilities.
- Establish performance benchmarks and continuously improve system reliability, scalability, and efficiency.
- Strong expertise in Data Engineering fundamentals including distributed data processing, data architecture, and pipeline optimization.
- Hands-on experience with big data technologies such as Spark, Hadoop, Kafka, and Airflow.
- Proficiency in SQL, Python, Scala, or Java for building and managing data workflows.
- Deep understanding of cloud-based data platforms and services (e.g., AWS Redshift, BigQuery, Azure Data Factory).
- Experience with real-time and batch data processing systems.
- Strong knowledge of data warehousing concepts, dimensional modeling, and data lake architectures.
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code.
- Proven ability to design systems that handle high data volume, velocity, and variety.
- Demonstrated experience in leading and scaling data engineering teams in fast-paced environments.
- Strong stakeholder management and communication skills, with the ability to translate technical concepts into business value.
- Strategic thinker with a problem-solving mindset and attention to detail.
- Ability to drive cross-functional collaboration and influence decision-making at senior levels.
- Passion for innovation and staying updated with emerging trends in data and analytics.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience in building data platforms supporting AI/ML initiatives is a plus.
- Prior experience in a leadership role within high-growth or enterprise environments.
Benefits
Comp & perks- 🌐 Worldwide Post a Job Affiliates ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs Account Weekday (YC W21) Website LinkedIn All Job Openings 11 - 50 employees Founded 2021 ☁️ SaaS 🎯 Recruiter Human Resources
- SaaS
- Recruitment Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies. Director – Data Engineering Job not on LinkedIn 🔥 57 minutes ago 🇮🇳 India – Remote 💵 ₹6M - ₹8.5M / year ⏰ Full Time 🔴 Lead 🚰 Data Engineer Airflow Amazon Redshift AWS Azure BigQuery Cloud ETL Google Cloud Platform Hadoop Java Kafka Python Scala Spark SQL Apply Now Find Hiring Managers Customize resume for this job ☆ Save ☑️ Mark as applied ❌ Hide Report problem 📋 Description
- This role is for one of the Weekday's clients
- We are seeking an experienced and visionary Director – Data Engineering to lead and scale our data engineering function.
- You will play a critical role in building robust, scalable, and efficient data platforms that power analytics, machine learning, and business intelligence across the organization. 🎯 Requirements
- Min Experience: 12 years
- Lead the design, development, and optimization of scalable data pipelines, data lakes, and data warehouses.
- Define and implement the overall data engineering strategy aligned with business goals and future growth.
- Architect modern data platforms leveraging cloud technologies such as AWS, Azure, or GCP.
- Drive best practices in data modeling, ETL/ELT processes, data governance, and data quality management.
- Collaborate closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making.
- Build and mentor a high-performing team of data engineers, fostering a culture of innovation, ownership, and continuous improvement.
- Oversee large-scale data integration efforts involving structured and unstructured data sources.
- Ensure data security, compliance, and privacy standards are adhered to across all systems.
- Evaluate and implement new tools, frameworks, and technologies to enhance data capabilities.
- Establish performance benchmarks and continuously improve system reliability, scalability, and efficiency.
- Strong expertise in Data Engineering fundamentals including distributed data processing, data architecture, and pipeline optimization.
- Hands-on experience with big data technologies such as Spark, Hadoop, Kafka, and Airflow.
- Proficiency in SQL, Python, Scala, or Java for building and managing data workflows.
- Deep understanding of cloud-based data platforms and services (e.g., AWS Redshift, BigQuery, Azure Data Factory).
- Experience with real-time and batch data processing systems.
- Strong knowledge of data warehousing concepts, dimensional modeling, and data lake architectures.
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code.
- Proven ability to design systems that handle high data volume, velocity, and variety.
- Demonstrated experience in leading and scaling data engineering teams in fast-paced environments.
- Strong stakeholder management and communication skills, with the ability to translate technical concepts into business value.
- Strategic thinker with a problem-solving mindset and attention to detail.
- Ability to drive cross-functional collaboration and influence decision-making at senior levels.
- Passion for innovation and staying updated with emerging trends in data and analytics.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience in building data platforms supporting AI/ML initiatives is a plus.
- Prior experience in a leadership role within high-growth or enterprise environments. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Engineer IV 🕒 5 days ago Rackspace Technology 5001 - 10000 🏢 Enterprise 🤖 Artificial Intelligence 🔐 Security Website LinkedIn All Job Openings Data Engineer IV developing scalable data pipelines and orchestration frameworks at Rackspace Technology. Leading teams in data governance and managing analytics workloads across Azure and Databricks. 🇮🇳 India – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer Azure Cloud PySpark Spark SQL Unity Principal Data Engineer, Snowflake 🕒 5 days ago Empower 10,000+ employees 💸 Finance 💳 Fintech 👥 B2C Website LinkedIn All Job Openings Principal Data Engineer delivering data products on AWS and Snowflake platforms. Leading data platform team for high-quality data pipeline solutions. 🇮🇳 India – Remote ⏰ Full Time 🔴 Lead 🚰 Data Engineer AWS Manager, Data Engineering 🕒 March 31 ShipBob, Inc. 501 - 1000 🛍️ eCommerce ☁️ SaaS Website LinkedIn All Job Openings Manager, Data Engineering responsible for building and scaling data systems at ShipBob. Leading a team in a remote position based in India with a focus on operational excellence. 🇮🇳 India – Remote 💰 $200M Series E on 2021-06 ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer Azure Cloud SQL Data Engineer III 🕒 March 12 Rackspace Technology 5001 - 10000 🏢 Enterprise 🤖 Artificial Intelligence 🔐 Security Website LinkedIn All Job Openings Data Engineer III at Rackspace Technology managing cloud data platforms and handling operations. Responsible for pipeline monitoring, incident management, and performance optimization in data analytics. 🇮🇳 India – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer AWS Azure Cloud SQL SSIS Tableau Data Architect 🕒 March 12 Astreya 1001 - 5000 🔒 Cybersecurity 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings Data Architect focusing on strategy, governance, and scalability for secure data architecture. Responsible for designing data governance policies and cost-optimized cloud solutions to meet enterprise standards. 🇮🇳 India – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer Cloud View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
data engineeringdata pipelinesdata lakesdata warehousesdata modelingETLELTdata governancedata quality managementbig data technologies
Soft Skills
leadershipmentoringcollaborationstakeholder managementcommunicationstrategic thinkingproblem-solvingattention to detailinnovationcross-functional collaboration
Certifications
Bachelor’s degreeMaster’s degree