ClearScale Logo

ClearScale

Big Data Tech Lead (EU Remote)

Reposted Yesterday
In-Office or Remote
Hiring Remotely in San Francisco, CA
Mid level
In-Office or Remote
Hiring Remotely in San Francisco, CA
Mid level
Remote Big Data Tech Lead supporting AWS data analytics projects: assist technical supervision, perform code reviews, estimate scope/LOE, design and prioritize data solutions, manage technical delivery, and clarify business context to maximize impact.
The summary above was generated by AI

This is a remote position.

ClearScale  (headquartered in San Francisco, California, USA) -  AWS Premier Consulting Partner  has been offering a full range of professional cloud computing services for  over 10 years , including architecture design, DevOps automation, refactoring and cloud-native applications development, integration, migration, solving all sorts of security issues (from just a security check to preventing cyber-attacks) and 24/7 technical support using the best advanced technology.




The list of our customers is diverse: from governments ( ClearScale  is an official cloud partner of the State of California) and educational institutions (University of California, San Francisco) to well-known global brands (IBM, Samsung, Salvation Army, GoPro, HP, Conde Nast, Carl Zeiss, etc.) The number of satisfied customers has been well over 850, some of which can be found on the company's website in the Case Studies  section.


  • We were the  third company  to gain a new  AWS competence:   Applied AI and Machine Learning Operations (MLOps) . Less than 15 partners   have this competency!

  • We have obtained the status in the  Database Freedom program  (less than 20 companies   in)

  • Proven expertise as a  Managed Services Provider  (less than   16 companies in). This means that  ClearScale  can perform full cycle consultancy and service: from audits, system or software development to the 24/7 support. You can read more about this on the company page -  Managed Services.



Our projects

ClearScale has completed over 1000 projects, implemented for all sorts of businesses: from  SMB companies to Fortune-500 IT giants. You could expect to get experience working with multitude business domains, industries, and technologies.

  • Data Analytics is building Data Lakes, and Lake Houses with a variety of technologies, such as EMR, Glue, Athena, Redshift, Aurora, Neptune, ElasticSearch/OpenSearch, etc.
  • ML/AI projects are based on scrupulous data analysis, hypothesis formulation, and rigid model quality checks using the latest packaged SageMaker or custom ML models and frameworks.
  • We empower IoT companies with technologies like IoT Core, IoT SiteWise, LoRaWAN, and extensive data analytics.


Responsibilities:
  • Assisting Team Lead in technological supervision of projects: code reviews, solving technological challenges, clarifying business requirements
  • Assisting Team Lead, Pre-Sales Architect in LOE estimation and scope clarification for the prospective customers (participate in writing SOWs, as a minor contributor, Consulted)
  • Framing the problem to maximize business impact
  • Setting expectations for success
  • Specifying and prioritizing projects from vague requirements
  • Planning and managing the technological part of projects
  • Striking a balance between trade-offs
  • Clarifying business context of opportunities
  • Operating in customers’ best interest
  • Delivering knowledge confidently
  • Taking responsibility for enterprise value
  • Exhibiting positivity and tenacity to work through failures
  • Being curious and collaborative in incident response


Required skills and experience

Responsibilities:

  • Assisting in technological supervision of projects: code reviews, solving technological challenges, clarifying business requirements
  • Assisting in LOE estimation and scope clarification for the prospective customer
  • Framing the problem to maximize business impact
  • Specifying and prioritizing projects from vague requirements
  • Planning and managing the technological part of projects
  • Clarifying business context of opportunities


Required skills and experience:

ClearScale expects a successful candidate to have most of the following qualifications and skills (not necessary all have to be presented):

  • 1+ years of technological supervision experience (mentoring/supervising 1-2 Engineers) in the delivery
  • 3+ years experience in writing analytical SQL queries
  • 1+ years of hands-on experience with some of the AWS Data Analytics services (EMR, Glue, Athena, Redshift etc.)
  • 3+ years of Java/Scala or Python data-related development
  • 1+ years of Hadoop or Spark
  • English B2 or better (spoken and written)

Additionally, it would make us smile even more if you have:

  • Experience in Pre-Sales work from the angle of technological estimates, scope clarifications
  • Experience in orchestration frameworks (e.g., Airflow, Step Functions)
  • Experience in streaming analytics solutions (Kinesis, Kafka, Flink, Spark Streaming)
  • Experience in CDC, Delta Lakes
  • IaaC experience, such as AWS CDK, Terraform, Cloudformation


Benefits

We offer

# 1 Fair wage

  • 100% Remote position
  • High hourly rate in USD
  • Full-time, 40 hours per week contract
  • Payments every 2 weeks
  • Annual Rate Review

# 2 Professional Development

  • Work with innovative Silicon Valley companies and traditional American companies at the cutting edge of digital transformation
  • We work with the newest technologies in AWS cloud and open-source tools like Jira, Confluence, Lucidchart, Slack etc
  • We operate in an honest and competitive environment and we are one of the AWS's top 10 key partners.
  • The team willing to share its experience
  • Paid AWS certifications: we provide training material, paid time off and examination itself
  • Horizontal and vertical career growth - We keep growing and people keep growing with us



Similar Jobs

An Hour Ago
Remote or Hybrid
2 Locations
80K-95K Annually
Junior
80K-95K Annually
Junior
Enterprise Web • Fintech • Payments • Software • Financial Services
Partner with financial institutions to assess technical needs, deliver tailored product demos, respond to RFPs, and coordinate with product, implementation, and customer success to drive deals and revenue growth. Serve as the technical bridge between prospects and internal teams.
Top Skills: JavaScriptPythonTypescript
An Hour Ago
Remote or Hybrid
United States
Senior level
Senior level
Financial Services
Lead enterprise sales for JP Morgan Chase's Workplace equity compensation solution targeting pre-IPO companies. Build and close a pipeline, cultivate executive relationships (finance/HR), collaborate with internal banking, legal, product, and marketing teams, negotiate deals, and analyze sales performance to drive market expansion.
Top Skills: ExcelMicrosoft Word
An Hour Ago
Remote or Hybrid
2 Locations
Senior level
Senior level
Financial Services
Lead applied AI/ML initiatives, design and deliver production-grade software, develop secure high-quality code, troubleshoot, automate remediation, evaluate vendor architectures, champion best practices across engineering, and drive adoption of AI/ML, NLP, LLMs and streaming technologies.
Top Skills: AIAmqpAutomationAws MskCi/CdCoding AssistantsConfluent KafkaFlinkGenerative AiJavaKafkaKinesisLlmsMachine LearningNlpPythonScalaSpark

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account