Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 12 days ago

Senior Databricks Engineer

Hike27 open roles

Pay
$135,000 – $185,000 a year
Where
Remote job, Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Databricks EngineerHike2 · Remote job, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Hike2's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Hike2 postings stay open a median of 1 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.1%30 days
This job: first seen 12 days ago

Hike2 median: 1 days open

The posting

Who We Are

HIKE2 is an advisory and innovation partner helping organizations design and build what’s next.

We work with complex and regulated industries, including law firms, financial services, insurance, professional services, and high-growth SaaS companies, to modernize operating models and embed data, automation, and AI into the core of how work gets done.

Our clients aren’t just upgrading technology. They are rethinking workflows, activating governed AI, and designing environments where humans and intelligent systems work side by side.

We believe meaningful transformation happens when strategy, data, design, and engineering move together. Siloed initiatives don’t scale. Real progress requires clarity of vision, strong data foundations, responsible governance, and disciplined execution.

Our teams bring deep industry expertise, human-centered design, and advanced data and cloud capabilities to architect secure, scalable solutions built for real-world complexity. From modern data platforms to AI-enabled workflows and enterprise automation, we help organizations move from experimentation to measurable impact.

We thrive in change and move from blank slate to working systems. We care deeply about outcomes, trust, and building long-term partnerships.

We don’t just implement technology. We help design the future of work.

HIKE2 is looking for a Senior Data Engineer with deep experience in Databricks and modern data platforms, particularly in large, complex enterprise environments. This is a hands-on role for someone who has built and delivered data solutions at scale, ideally in greenfield settings, and is comfortable working with Fortune 500 clients. You’ll be expected to lead technical direction, make sound architectural decisions, and support the growth of other engineers on the team.

You’ll work closely with clients and internal teams to design and implement enterprise-grade data platforms and pipelines from the ground up. This role requires someone who can operate across the full lifecycle from early architecture and design through delivery and optimization, while keeping solutions practical, reliable, and aligned with business needs.

What You’ll Do

  • Design and build large-scale data platforms on Databricks (Delta Lake, Spark, Unity Catalog) in Azure
  • Develop and maintain batch and streaming data pipelines for high-volume, complex data sources
  • Implement medallion/lakehouse architectures from the ground up in greenfield environments
  • Build and optimize data models to support analytics, reporting, and downstream applications
  • Integrate Databricks with enterprise systems (APIs, event streams, warehouses, ML workflows)
  • Tune Spark jobs and pipelines for performance, reliability, and cost at scale
  • Support production deployments, including CI/CD pipelines, testing, and release management

How You’ll Work

  • Partner directly with enterprise clients to translate requirements into working technical solutions
  • Collaborate with architects, engineers, and data scientists across multiple workstreams
  • Balance speed and quality, knowing when to move fast and when to harden solutions
  • Make pragmatic decisions in ambiguous, evolving environments (especially greenfield builds)
  • Contribute hands-on while also guiding design and approach across the team
  • Communicate tradeoffs clearly to both technical and non-technical stakeholders
  • Work within modern engineering practices (version control, code reviews, automated testing)
  • Demonstrated ability to mentor and guide data engineers and analysts

What You’ll Own

  • End-to-end delivery of Databricks-based data solutions—from design through production support
  • Technical direction and key architecture decisions for large-scale implementations
  • Data pipeline reliability, monitoring, and incident response in production environments
  • Performance and cost efficiency of workloads running in Databricks and Azure
  • Data quality, governance alignment, and adherence to enterprise security standards
  • Reusable patterns, frameworks, and standards for scaling future implementations
  • Mentorship and technical development of other engineers on the team

Desired Skills and Experience:

  • Deep Databricks-native expertise, including experience architecting and implementing end-to-end lakehouse solutions that run primarily or entirely on Databricks. Advanced experience with modern Databricks architecture patterns, including declarative pipelines / Delta Live Tables, Unity Catalog, Delta Lake, workflow orchestration, governance, performance tuning, and operational monitoring.
  • Familiarity with infrastructure-as-code (Terraform, Bicep), environment provisioning, and CI/CD automation (Github, Azure DevOps) for Databricks-based platforms.
  • Strong learning agility, technical curiosity, and comfort using AI-enabled development workflows or automation tools to accelerate delivery and improve quality.
  • Familiarity with other modern cloud data architectures and tools, including cloud-native data warehouses (Snowflake, BigQuery, Redshift), data lakes, orchestration frameworks (Airflow/Astronomer), transformation tools (dbt), catalog/governance platforms, and scalable batch or streaming data processing services (Kafka, Kinesis).

The salary range for this position is: $135,000-185,000K. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. This range is exclusive of any bonuses or commissions. HIKE2 offers a wide range of benefits which may include medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

Don’t meet every requirement?

As an innovation consultancy, we recognize that talent is not always related to job history and skills come from valuable experiences that aren’t always shown on a resume. If you are excited to make a positive impact, but your experience doesn’t align perfectly, we encourage you to apply. You may be the right candidate for our organization, whether it be this role or another.

Accommodation Statement

We are committed to providing reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the hiring process. If you require an accommodation to complete the application or participate in the interview process, please let us know.

BGC Notice

Employment may be contingent upon successful completion of a background check, conducted in compliance with applicable federal, state, and local laws.

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At HIKE2, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

US Citizenship

Due to the nature of our client work, all applicants must reside in the U.S. and hold US Citizenship to be considered for employment. Hike2 cannot sponsor work authorizations or visas now or in the future.

EEO Statement

We are an equal opportunity employer and are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, marital status, or any other status protected by applicable federal, state, or local law.

Disclaimer

This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications and may be modified at any time to meet business needs.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Hike2's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Hike2's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Hike2's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.