1,051 to 1,075 of 1,465 Permanent Databricks Jobs

Databricks is seeking a Senior Executive to lead our Energy industry go-to-market strategy across EMEA. This role involves shaping how we engage with top energy companies, building relationships, and driving initiatives that harness data and AI for business value. The ideal candidate will bring over 10 years ...

sales experience with 100%+ quota attainment. Strong consultative selling skills and C-level credibility. Background in high-growth, MEDDIC-style organisations (e.g. MongoDB, Databricks, Snowflake, Zscaler, Palantir or other fast-scaling SaaS businesses). If you feel you have the relevant experience please reply to this advert or email ...

address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks. Mandatory Skills: DataBricks - Data Engineering.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them ...

language used by millions of developers every day. Around him is a team that has built the tools other engineers rely on, at Google, Databricks, Perplexity, JetBrains, Sourcegraph, and Elastic. When it comes to program analysis and developer tooling, these are some of the best people in the world. ...

manage billions of dollars in spend. We're a fast-growing team that helped scale category-defining companies like Airbnb, Meta, Salesforce, Databricks, Ramp, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, BOND, DST Global, and CRV, we’re focused on developing ...

client is seeking an experienced Lead Data Engineer to drive the design, delivery, and evolution of a modern data platform built on Databricks , Microsoft Fabric , Azure Synapse , and Azure . This is a hands-on technical leadership role where you’ll guide a team of Data Engineers, set engineering standards … secure, high-performing data solutions. What you’ll lead Lead and mentor a high-performing Data Engineering team. Act as the technical SME across Databricks, Fabric, Synapse, and Azure. Own solution design, implementation strategy, and technical delivery. Build and optimise pipelines using PySpark , Spark SQL , ADF , Synapse Pipelines , or Fabric ...

will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Build and optimize ETL data pipelines using Databricks and Apache Spark Develop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying, aggregation, and integration against numerous diverse data sources … years (Preferred) SharePoint Development: 3 years (Preferred) Spark: 3 years (Preferred) AWS: 3 years (Preferred) S3: 3 years (Preferred) AI: 2 years (Preferred) Databricks: 2 years (Required) License/Certification S. federal government security clearance (Preferred) AWS Certified Solutions Architect (Preferred) Databricks Certified Data Engineer Professional (Preferred) Work Location: Hybrid ...

most complex business issues, let’s talk. What you’ll do Design, development, and delivery of enterprise‐grade analytics solutions based on Azure and Databricks technologies Evangelise and evolve best practices for our clients and our team including mentoring your colleagues, supporting their personal development Constantly developing technical skills … latest Azure and Databricks technologies – achieving & maintaining relevant certifications Working directly with high‐profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors Skills and experiences Demonstrable end‐to‐end experience in Data Engineering, including large‐scale projects Experience in working with ...

/Bronze, Silver & Gold patterns Delta tables SQL Azure Git/source control CI/CD Testing, monitoring and data quality Experience with Azure Databricks is particularly relevant and transfers well into what the team is building within Fabric. You don't necessarily need commercial Fabric experience … worked in a modern Databricks/Spark/Python engineering environment. Equally, we're open to strong Python Data Engineers who have built production-grade data solutions through code and are looking to move deeper into PySpark, distributed processing and Fabric. What makes this different? The business isn't simply ...

annum Responsibilities include building data pipelines and working with Azure Data Factory Required experience with Python, Spark, SQL, and Databricks At The Institute of Chartered Accountants England & Wales (ICAEW), you'll be part of an organisation that's shaping the future of business, finance and the accountancy profession … better use of data. What you will be doing: Build and maintain robust data pipelines, ingestion processes and integrations using Azure Data Factory and Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management ...

analytics solutions. You will work closely with cross-functional teams to design, implement, and maintain robust analytics pipelines in SQL , leverage your expertise in Databricks using Python , and create impactful visualisations using Tableau or Power BI and other relevant technologies. This is a fantastic opportunity for a driven individual looking … Responsibilities Develop and maintain dashboards and reports to visualise and communicate insights derived from complex datasets . Design and implement scalable data pipelines using Databricks and SQL/Spark for efficient data processing and analysis. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. Optimise ...

domain expertise and demonstrable experience with cloud-based services for data analytics and AI on the Microsoft Cloud (e.g. Azure ML, AI Foundry, Azure Databricks ) Experience shaping proof of concepts and evolve designs to productionised solutions with appropriate AI governance incorporating MLOps and LLMOps to manage risk and auditability Experience … role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) #J ...

pipelines by integrating SCADA, ACM, Kepware, MQTT/Sparkplug B, HiveMQ, and edge technologies to deliver reliable operational data to enterprise platforms such as Databricks Optimizes OT data quality and availability through troubleshooting, monitoring, and performance tuning of polling engines, communication channels, edge devices, and data flows Develops and maintains … SCADA and industrial communication protocols, including OPC, Modbus, DNP3, MQTT, and related OT systems Experience with enterprise data platforms and analytics tools, including Databricks, SQL, Python, Power BI, and cloud-based data architectures Ability to diagnose and resolve complex OT data issues, including data quality problems, communication failures, and system ...

datasets into clear insights that help business stakeholders make better decisions. Working hands‐on with SQL, Python and cloud data platforms such as Databricks, AWS and Snowflake, you will build the analysis, reporting and audience segments that power international marketing campaigns and track performance against growth goals. You will work … Data Analysis Write efficient SQL and Python to extract, clean, transform and analyse large fan and marketing datasets. Work within cloud data platforms (Databricks, Snowflake, AWS) to build and maintain analytical datasets and workflows. Take a business question, develop an analysis plan, and deliver an answer that addresses it. Summarise ...

+ package Active SC or DV Clearance required 2-stage virtual interview process Experience required in Python, SQL, Spark, Databricks and Customer Consultancy We're working with a fast-growing, high-performing technical consultancy seeking an experienced Data Engineer to join a team specialising in data, AI and software solutions … Experience designing and building data-intensive applications and pipelines Strong programming skills in Python and SQL or similar Experience with technologies such as Spark, Databricks, AWS, Azure, GCP and/or Airflow Strong focus on data quality, testing and reliability Solid software engineering fundamentals and high engineering standards Strong communication ...

from diverse data sources and formats Hands‐on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross‐functional stakeholders, with strong communication skills for both technical and non‐technical audiences Awareness … support highly scalable data engineering solutions that power Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical teams ...

deliver reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands … trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands ...

products (reporting, AI/ML) and operations. Co-author data governance practices with the Data Governance Lead: metadata, data quality, lineage, privacy, compliance within Databricks Unity Catalog. Review solution designs for architectural alignment and risk reduction, eliminating duplication and maximising reusability at cost-efficient scale. Evaluate emerging technologies and reduce … medallion, big data). Demonstrable experience in running long-term data migration projects between bespoke systems desirable. Experience with cloud data platforms - Azure (desirable) & Databricks (essential). Advanced data modelling expertise, using industry reference models where appropriate. Proven stakeholder engagement and communication skills. Experience operating in the insurance industry ...

source-of-truth decisions independently. Strong hands-on data skills: fluent SQL, solid data modelling, and a modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking … built, not familiarity with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non-technical ...

source-of-truth decisions independently. Strong hands-on data skills: fluent SQL, solid data modelling, and a modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking … built, not familiarity with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non-technical ...

Architecture Microservices Architecture Event-Driven Architecture API & Integration Architecture Cloud-Agnostic Architecture Domain-Driven Design Strangler Pattern Migration DevSecOps CI/CD & IaC Observability DataBricks Data Governance & Lineage Cloud Portability Kubernetes Kafka .NET MSSQL/PostgreSQL Nice to Have Financial Services/Banking Domain experience Key Competencies Proven enterprise architecture … requirements including high availability, disaster recovery, failover, observability, monitoring, logging, tracing, SLOs, incident handling, and support transition. Good appreciation of enterprise data platforms like Databricks , governed reporting, data lineage, data quality, auditability, regulatory evidence, and interaction between operational systems and analytical data platforms. Excellent stakeholder management, architecture governance, decision facilitation ...

Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware. AI‐Assisted Engineering: Leverage modern AI tools (Cursor, Claude, Vibes) embedded directly into your … Execution. Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures). Hands‐on experience with cloud data platforms (Snowflake, Databricks, BigQuery). Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments. Unleash Your Potential When you join Salesforce ...

sources, building the robust datasets that fuel all decision-making. Build the Data Pipeline: Design and optimize data pipelines using Delta Live Tables on Databricks , ensuring efficient, reliable, and scalable data movement to balance computational power with analytical agility. Be the Bridge: Partner directly with business teams across the company … Experience with Tableau Prep is a welcome addition to your toolkit. A minimum of 2 years hands-on with the power of AWS and Databricks -the cloud-scale engines for our data. At least 3 years of proven fluency in the languages of data manipulation: Spark SQL, SQL, and Python. ...

DATA, Inc. is seeking an experienced Data Engineer to design and deliver Databricks-based data pipelines for complex client projects. You will engage with clients, collaborate with architects and engineers, and drive best practices across the data lifecycle. The role requires 5–8 years in data engineering, strong SQL/… Python, and hands-on experience with Databricks on cloud platforms such as AWS, Azure, or GCP. #J-18808-Ljbffr ...

Data Architect/Lead Data Engineer to shape data architecture while delivering hands-on engineering. You will work across cloud data platforms including Databricks, building data pipelines, governance and analytics capabilities. The role blends architectural leadership with practical delivery across data products and platforms. Ideal candidates will have extensive Databricks ...