Senior Software Consultant - Databricks / Snowflake Job at 10Pearls (Lahore, Karachi, Islamabad)

Senior Software Consultant - Databricks / Snowflake

We are seeking a skilled Data Engineer with strong expertise in Databricks and S...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling
production experience with sqlmesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred)
hands‑on experience with databricks or snowflake, operating pipelines and warehouses in production environments
advanced sql skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations
proficiency in python, especially for PySpark transformations, data validation, and pipeline automation
strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices
experience with ci/cd for data, including automated testing, version control, and deployment pipelines

Job Responsibility

build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse
scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks
own ci/cd for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation
develop and integrate ml models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers
ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments
design and maintain 300+ sql and python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness
own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs
champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data
collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets
drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams

Senior Software Consultant - Databricks / Snowflake

We are seeking a skilled Data Engineer with strong expertise in Databricks and S...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling
Production experience with SQLMesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred)
Hands‑on experience with Databricks or Snowflake, operating pipelines and warehouses in production environments
Advanced SQL skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations
Proficiency in Python, especially for PySpark transformations, data validation, and pipeline automation
Strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices
Experience with CI/CD for data, including automated testing, version control, and deployment pipelines

Job Responsibility

Build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse
Scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks
Own CI/CD for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation
Develop and integrate ML models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers
Ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments
Design and maintain 300+ SQL and Python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness
Own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs
Champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data
Collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets
Drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams

Senior ThoughtSpot Engineer

We are seeking a Senior ThoughtSpot Engineer with a strong background in data an...

Location

United States

Salary:

115000.00 - 175000.00 USD / Year

Hike2

Expiration Date

Until further notice

Requirements

Proven success delivering ThoughtSpot solutions in consulting or enterprise environments
One or more ThoughtSpot certifications (Professional, Cloud Architect, Administrator, or similar) highly desirable
Strong proficiency in SQL and familiarity with scripting languages such as Python or JavaScript
Deep understanding of data modeling concepts and best practices
Hands-on experience with modern cloud data platforms such as Databricks, Snowflake, Amazon Redshift, Google BigQuery, or Microsoft Synapse
Familiarity with relational databases (SQL Server, Oracle, etc.) and BI tools (Tableau, Looker, MicroStrategy, etc.)
Strong communication, presentation, and client engagement skills with the ability to bridge technical and business conversations
Self-starter who thrives in fast-changing environments and can work independently
Willingness to travel occasionally as client engagements require

Job Responsibility

Lead workshops and requirements sessions with business stakeholders and ensure that the solutions delivered by the team align with defined business goals and desired outcomes
Design, architect, and implement ThoughtSpot solutions for a diverse range of clients
Build ThoughtSpot solutions that are flexible by design, enabling rapid configuration, extension, and deprecation as business needs evolve
Serve as a trusted advisor, guiding clients on best practices for data modeling, cloud integration, and analytics adoption
Lead and mentor junior engineers, fostering technical growth and best practices
Serve as a primary technical resource, guiding architecture decisions across multiple client programs
Champion modern software engineering practices including code reviews, automated testing, and CI/CD
Partner with internal and client teams to understand business objectives and recommend the best-fit technical solutions
Stay current with emerging technologies across data platforms, analytics, and AI

What we offer

Six national health medical plans to choose from, including a HSA option
Dental & Vision options
Retirement Savings with a Safe Harbor 401K plan with immediate vesting and company match
Long and short term disability coverage options
Life Insurance and travel insurance
Flexible PTO policy and 10 paid holidays
Reimbursement for certifications related to your role
Opportunity for career development, advancement and learning

Fulltime

Senior Director, Field CTO- Capital One Software

Senior Director, Field CTO- Capital One Software (Remote). We are seeking a Seni...

Location

United States , Richmond; San Francisco; McLean; New York

Salary:

286200.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree or military experience
At least 9 years of experience in technical roles (for example: Engineering, Architecture, or Technical Consulting)
At least 5 years of experience in a public facing role ( for example: Technical Evangelist, Field CTO, or Developer Advocate) with a verified portfolio of public speaking and technical content (for example: guides, blogs, white papers, podcasts, webinars)
At least 4 years of experience with cloud data platforms (Snowflake, Databricks) and cloud infrastructure (AWS, Azure, or GCP)

Job Responsibility

Keynote & Content: Be the premier technical voice for Databolt at major industry events (e.g., AWS re:Invent, Snowflake Summit, RSA). Create high-signal technical content, from white papers to architectural deep-dives.
Executive Advisory: Serve as a "Field CTO" for our most strategic Global 2000 prospects, helping them build business cases that align risk reduction with business enablement.
Channel Enablement: Work closely with our Channel Chief to educate technical teams at partners like Optiv, GuidePoint, and WWT. You will ensure their architects can credibly deploy and support our "0 to 1" solutions.
Product Feedback Loop: Funnel technical insights from the field directly back to Product and Engineering to ensure our roadmap stays ahead of evolving compliance and AI needs.

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Senior Director of Data Engineering and Machine Learning

Lead the Data Revolution at Modus Create. At Modus Create, we empower the world’...

Location

United States of America

Salary:

200000.00 - 240000.00 USD / Year

Modus Create

Expiration Date

Until further notice

Requirements

15+ years in data or software engineering roles
7+ years leading Data Engineering/ML teams—ideally at scale or in global consulting contexts
Hands-on experience with cloud data platforms, big data toolchains (Spark, Kafka), data transformation tools (Airflow, dbt), and ML platforms
Success in pre-sales, solutioning, and growing data/ML engagements within enterprise or mid-market accounts
Demonstrated ability to create enablement programs, uplift team capabilities, and grow inclusive, high-performing engineering cultures
Deep empathy for client pain points and the ability to craft and deliver impactful, measurable solutions
Excellent across technical, executive, and cross-functional settings, with an ability to successfully navigate diverse cultural differences

Job Responsibility

Build Modern Data Platforms: Design and oversee architecture for cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP
Ensure robust solutions using platforms such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
Deliver Products that are Intelligent: Define and drive responsible ML strategy, from model development to integration, using platforms like SageMaker, Azure ML, or TensorFlow
Enable smarter client experiences by embedding ML into applications, automation, and analytics
Lead & Grow Teams: Foster a culture of trust, continuous learning, and experimentation by hiring, mentoring, and empowering distributed teams of data and ML engineers
Define career paths, feedback frameworks, and learning programs grounded in a culture of experimentation,continuous growth, and a sense of belonging at every level
Shape Technical Strategy & Best Practices: Develop modular runbooks, tooling standards, and engineering frameworks optimizing for scalability, observability, and security
Champion collaborative practices like Agile/Lean development, dataOps, MLOps, and CI/CD for data pipelines and models
Business Development & Sales Enablement: Partner with Sales, Partnerships, and Account Teams to find and co-create thoughtful, outcome-driven data & ML engagements
Translate client needs into solution designs, shareable collateral, and winning proposals and estimates that reflect both technical strength and business empathy

What we offer

Remote work with flexible working hours
Flexible Time Off/PTO
Premium Health Insurance (medical, vision, and dental)
Other benefits such as FSA and HSA
401 (k)
Modus Global Office Programme: for when you want to get out of your home, we offer on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
Employee Referral Program
Travel according to client or team needs
The chance to work side-by-side with thought leaders in emerging tech
Access to more than 12,000 courses with a licensed Coursera account

Fulltime

Senior Solutions Engineer

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consulta...

Location

United Kingdom , London

Salary:

Not provided

Mixpanel

Expiration Date

Until further notice

Requirements

Ability to communicate with stakeholders at all levels
Demonstrated track record of qualifying and selling technical solutions to executive stakeholders
6+ years of experience in a Software-as-a-Service Sales Engineering or related role
Experience in data querying, modeling, and transformation using tools such as SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools
Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks)
Successful record of experience in sales engineering, customer success, client-facing professional services, consulting, or technical project management
Excellent written, analytical, communication, and presentation skills
Strong process and project delivery discipline
Ability to travel
Fluency in multiple languages

Job Responsibility

Serve as a trusted technical advisor for prospects, providing strategic consultation on data architecture, governance, instrumentation, and business outcomes
Communicate and consult effectively at all levels of the customer’s organization to earn trust and influence buying decisions
Bridge the technical-business gap—working with senior stakeholders to define success for proof-of-concepts and ensuring successful execution and outcomes
Leverage your Mixpanel expertise and technical/consultative skills to impart best practices throughout proof-of-concept projects
Partner with Account Executives to drive revenue growth, serving as the key technical contact for customers
Partner with post-sales teams to ensure that pre-sales value propositions translate into tangible post-sales results
Develop relationships and uncover the needs of key technical stakeholders within your assigned book of business
Be the “Voice of the Prospect” by collecting feedback from potential Mixpanel customers and sharing it with the Product team

What we offer

Comprehensive Medical, Vision, and Dental Care
Mental Wellness Benefit
Generous Vacation Policy & Additional Company Holidays
Enhanced Parental Leave
Volunteer Time Off
Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break (US)

Senior Data & AI Sales Executive – Global Clients

Senior Individual Contributor / Strategic Hunter & Farmer role at SDG Group, a g...

Location

United Kingdom , London

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

5–9 years of experience in selling professional services within Data Consulting, Analytics, or AI
Proven track record meeting or exceeding sales targets for professional services
Experience with a proven track record selling software is a plus
Ability to independently generate and qualify leads within the Upper Mid Market and Enterprise Segment (€600M – €4B turnover)
Experience building long-term roadmaps to position as a strategic partner
Proficiency in closing deals under both Fixed Price and Working Packages (Managed Time & Materials Service) models
Experience managing complex sales cycles (6–12 months) involving multiple global stakeholders and procurement departments
Ability to navigate the bureaucracy of large enterprises
Utilized effective sales methodologies such as consultative selling, solution selling, or value-based selling
Demonstrated strong negotiation skills and the ability to overcome objections

Job Responsibility

Opening doors from scratch (Hunting) and scaling existing accounts (Revamping)
Cross-selling, expanding into new departments, and penetrating international subsidiaries
Co-lead the Account Plan alongside the Operations Lead
Act as the primary point of contact for our strategic Technology Partners (Snowflake, Databricks, etc.) in assigned markets
Co-sell, manage referrals, and align our go-to-market strategies with partners' local teams
Design tailored entry strategies for 'Mighty Mid-Market' accounts and execute them relentlessly from initial contact to contract signature

Senior Bigdata Cloud Developer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

7 - 9 years of relevant experience
Hands-on with Python, Pyspark, Scala, Kafka, Big data eco system & Unix scripting
Snowflake and Databricks experience will be added benefit
Strong exposure to cloud tech stack in AWS, & GCP
Hands-on with JIRA, CICD pipeline setup/usage
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

Senior Software Consultant - Databricks / Snowflake

10Pearls

Location:
Pakistan , Lahore, Karachi, Islamabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 01, 2026

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