Staff Implementations Data Engineer, Altana
Supply chain visibility platform
Be an early applicant
Supply chain visibility platform
201-500 employees
Be an early applicant
201-500 employees
Company mission
Altana AI's mission is to improve global commerce.
Role
Who you are
- You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes ownership of the end-to-end design and operation of data solutions and refines the systems to deliver measurable results
- 8+ years of technical experience in data engineering or closely related roles
- You have extensive experience across the design, development, and maintenance of complex data models from a variety of sources and schemas
- Demonstrated track record of leading the full lifecycle (Design, Development, Test, Deploy, Monitor, Maintain) of data ingestion and standardization pipelines at scale
- A demonstrated drive for sustainable software development, self-healing data workflows, and a deep appreciation for data security and data governance
- Experience leading and mentoring other engineers on complex data engineering projects
- You are eligible and willing to obtain UK Security Check (SC) clearance or have an active clearance already
- Excellent written and verbal communication skills, with a track record of successfully interacting directly with external customers and stakeholders to scope technical work and manage expectations
- Keep up to date with latest trends in data engineering and care deeply about engineering excellence and knowledge sharing
- Technologies we love
- Languages: Python, Spark, SQL
- Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker
- Datastores: Databricks, OpenSearch, Postgres
Desirable
- Expertise or experience with the deployment of ML pipelines
- Exposure to trade compliance, supply chain management or a field similarly related to international commerce
- Experience working with or within the public sector
- Experience with the responsibilities involved in managing a data platform, including monitoring and managing releases, costs, and infrastructure changes
- Familiarity using AI tools to enhance the quality & pace of your output
What the job involves
- The Implementation team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations
- Specifically, the team is focussed on:
- Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities
- Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base
- Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture
- Work in a cross-functional team of engineers, data scientists, and product managers
- Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment
Salary benchmarks
Our take
Altana’s platform provides a shared source of truth for the global supply chain. The idea is that this will help businesses and governing powers optimize global commerce which, over the past few years, has shot up on the list of international priorities. With three quarters of businesses reporting recent supply chain disruptions, and governments increasingly concerned with mitigating security threats, data-driven visibility is more sought after than ever before.
Crucially, the platform doesn’t require data sharing to create global intelligence, instead using a federated machine learning approach. This is a nut many big-data companies have been trying to crack, and Altana’s success has attracted interest from top-tier investors like Google Ventures and Floating Point alongside contracts with the UK Department of Business & Trade. A number of other headline enterprises and government agencies are already on the company's customer roster.
With companies looking to recoup some of the $4T reportedly lost in supply chain disruptions over recent years, and the push for global databases getting stronger, logistics startups are having a fruitful investment period. Altana is crafting a remarkable product at a highly marketable time, and with partnerships with the likes of Maersk, it has had good uptake so far. Backed by substantial funding, Altana is set for a strong few years.
Steph
Company Specialist at Welcome to the Jungle
Insights
26% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2024
$200m
SERIES C
Oct 2022
$100m
SERIES B
Total funding: $323.5m
Company benefits
- Competitive base salary: We offer competitive base salaries to recognize the incredible work our employees do.
- Learning & development: We support your development through regular performance check-ins and offer financial support for Learning and Development initiatives.
- Health benefits: We offer full global benefits, including a 100% employer-paid plan and tax-advantaged HSA and FSA options in the US.
- Paid time off: We provide a generous PTO policy, including paid sick time, to support your well-being in and out of the office.
- Equity program: We instill ownership by offering competitive new hire equity grants, plus the opportunity to gain more equity along the way.
- Parental leave: We offer up to 26 weeks of fully paid parental leave to support you and your family.
Company HQ
Financial District, New York, NY
Leadership
Raphael Tehranian
(Co-Founder & COO)Previously an analyst with J P Morgan, pivoting to engagement at Cleantech Group and then corporate tech strategy with Suncor Energy. After a spell as an investor at Fuller Smith, spent time with global supply chain analytics company Panjiva as a management advisor.
Peter Swartz
(Co-Founder & Chief Science Officer)An MIT grad in political science who went on to work as Head of Data Science at Panjiva.
Evan Smith
(Co-Founder & CEO)A Yale economics graduate with experience in renewables at Imperium Renewables and Verno Systems, the latter of which they co-founded. Served as a partner at Fuller Smith, before moving on to work in a management advisor role at Panjiva.
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